Relevant bibliographies by topics / Broadband beamforming

Academic literature on the topic 'Broadband beamforming'

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Published: 4 June 2021
Last updated: 31 January 2023

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Journal articles on the topic "Broadband beamforming"

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Li, Jiake, Zhe Ma, Lei Mao, Zhengjun Wang, Yi Wang, Huaiyu Cai, and Xiaodong Chen. "Broadband Generalized Sidelobe Canceler Beamforming Applied to Ultrasonic Imaging." Applied Sciences 10, no. 4 (February 11, 2020): 1207. http://dx.doi.org/10.3390/app10041207.

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A broadband generalized sidelobe canceler (Broadband-GSC) application for near-field beamforming is proposed. This approach is implemented in the wavelet domain. Broadband-GSC provides a set of complex, adapted apodization weights for each wavelet subband. The proposed method constrains interference and noise signal to improve the lateral resolution with only one single emission. Performance of the proposed beamforming is tested on simulated data obtained with Field II. Experiments have proved that the new beamforming can significantly increase the image quality compared with delay-and-sum (DAS) and synthetic aperture (SA). Imaging of scattering points show that Broadband-GSC improves the lateral resolution by 43.2% and 58.0% compared with SA and DAS, respectively. Meanwhile，Broadband-GSC reduces the peak sidelobe level by 11.6 dB and 26.4 dB compared with SA and DAS, respectively. Plane wave emission experiment indicates that Broadband-GSC can improve the lateral resolution by 44.2% compared with DAS. Furthermore, the new beamforming introduces the possibility for higher frame-rate and higher investigation depth with increased lateral resolution.
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Tokaji, Kristóf, and Csaba Horváth. "Effect of a pylon on the broadband noise sources of counter-rotating turbomachinery." International Journal of Aeroacoustics 20, no. 8 (November 2021): 979–1002. http://dx.doi.org/10.1177/1475472x211055178.

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Pylons are commonly used for the mounting of engines in the aircraft industry. On the other hand, the installation of a pylon influences the noise generation mechanisms and therefore alters the broadband noise characteristics of a given turbomachinery setup. In this investigation, a counter-rotating open rotor with and without a pylon is investigated in order to determine its effects on broadband noise sources. The various broadband noise sources and their typical frequency ranges have been determined using beamforming maps and spectral analysis. In order to attain a clear impression regarding the broadband noise sources, the Double Filtering beamforming method has been utilized in the investigation. This method removes the tonal components from the recorded signal of a microphone array, resulting in a purely broadband signal. Using beamforming maps, the dominant broadband noise source amplitudes and locations can therefore be investigated in great detail. Compared to other methods, the investigation of measurement data and beamforming maps helps determine the amplitude, the frequency range, and the significance of the various types of broadband noise sources that are truly present in the emitted noise. It has been found for lower frequencies, that the broadband noise sources at the blade root of the aft rotor are dominant, while for higher frequencies, the significant broadband noise sources are localized to the trailing edge region of the forward rotor and the leading edge of the aft rotor. The installation of a pylon has resulted in an additional broadband noise source appearing at the blade tip of the aft rotor.
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Bi, Yang, Xi’an Feng, and Yangmei Zhang. "Optimized Sonar Broadband Focused Beamforming Algorithm." Algorithms 12, no. 2 (February 5, 2019): 33. http://dx.doi.org/10.3390/a12020033.

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Biases of initial direction estimation and focusing frequency selection affect the final focusing effect and may even cause algorithm failure in determining the focusing matrix in the coherent signal–subspace method. An optimized sonar broadband focused beamforming algorithm is proposed to address these defects. Initially, the robust Capon beamforming algorithm was used to correct the focusing matrix, and the broadband signals were then focused on the optimal focusing frequency by the corrected focusing matrix such that the wideband beamforming was transformed into a narrowband problem. Finally, the focused narrowband signals were beamformed by the second-order cone programming algorithm. Computer simulation results and water pool experiments verified that the proposed algorithm provides a good performance.
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Seydnejad, Saeid R., and Reza Ebrahimi. "Broadband beamforming using Laguerre filters." Signal Processing 92, no. 4 (April 2012): 1093–100. http://dx.doi.org/10.1016/j.sigpro.2011.10.022.

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Guenther, Drake A., and William F. Walker. "Broadband optimal contrast resolution beamforming." Ultrasonics 52, no. 3 (March 2012): 387–401. http://dx.doi.org/10.1016/j.ultras.2011.09.005.

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Agrawal, Monika, and Surendra Prasad. "Optimum broadband beamforming for coherent broadband signals and interferences." Signal Processing 77, no. 1 (August 1999): 21–36. http://dx.doi.org/10.1016/s0165-1684(99)00020-1.

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Huang, Long Yang, Jun Luo, and Wei Jun Pan. "Spatial-Temporal Non-Uniform Subband Broadband Beamforming." Advanced Materials Research 108-111 (May 2010): 1223–28. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.1223.

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A spatial-temporal scheme based on non-uniform subband general parameter filter banks for broadband beamforming of scaled aperture array is proposed in this paper. The scaled aperture array is composed of several uniformly-spaced linear subarrays, each of which processes an octave subband signal respectively. The non-uniform subband signal is implemented by tree-structure general parameter filter banks. Each subarray broadband beamforming is carried out by a kind of tapped-delay-line (TDL) infinite-impulse-response (IIR) filters beamformer, and four subarrays share the same weights. This processing architecture based beamformer splits the broadband signal into several narrower subband ones which are processed in parallel, and subarray is operating with lower sampling rate, which contributes to decreasing the computational load significantly and improving the speed and performances as well. Simulations show that computation complexity and load of this beamformer are much lower relative to the conventional TDL broadband beamfomer.
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Simanapalli, S., and M. Kaveh. "Broadband focusing for partially adaptive beamforming." IEEE Transactions on Aerospace and Electronic Systems 30, no. 1 (1994): 68–80. http://dx.doi.org/10.1109/7.250407.

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Koca, M., and B. C. Levy. "Broadband beamforming with power complementary filters." IEEE Transactions on Signal Processing 50, no. 7 (July 2002): 1573–82. http://dx.doi.org/10.1109/tsp.2002.1011198.

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Zhang, Ming, and M. H. Er. "Robust adaptive beamforming for broadband arrays." Circuits Systems and Signal Processing 16, no. 2 (March 1997): 207–16. http://dx.doi.org/10.1007/bf01183275.

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Dissertations / Theses on the topic "Broadband beamforming"

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Chou, Thomas Clayton. "Broadband frequency-independent beamforming." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11854.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
Includes bibliographical references (p. 103-105).
by Thomas Clayton Chou.
M.S.
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Thiel, Ryan. "Array Processing Techniques for Broadband Acoustic Beamforming." ScholarWorks@UNO, 2005. http://scholarworks.uno.edu/td/251.

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Audio acquisition and recording can benefit from directional reception of the acoustic signals. Current acoustic designs of highly-directional microphones are bandwidth limited and physically large. A microphone array used in conjunction with a beamforming algorithm can acquire and spatially filter the signal, but traditionally this has suffered from limitations similar to those of the purely acoustic designs. The work presented in this paper attempts to overcome these limitations by producing and analyzing three atypical techniques for broadband beamforming. The last and most successful technique employs an algorithm which calculates the difference in group delay of the acquired signals and uses that information to determine the direction of the incoming signals as a function of frequency.
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Ward, Darren Brett, and db_ward@hotmail com. "Theory and application of broadband frequency invariant beamforming." The Australian National University. Faculty of Engineering and Information Technology, 1996. http://thesis.anu.edu.au./public/adt-ANU20050418.112459.

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In many engineering applications, including radar, sonar, communications and seismology, the direction of impinging signal wavefronts can be used to discriminate between competing sources. Often these source signals cover a wide bandwidth and conventional narrowband beamforming techniques are ineffective, since spatial resolution varies significantly across the band. In this thesis we consider the problem of beamforming for broadband signals, primarily when the spatial response remains constant as a function of frequency. This is called a frequency invariant beamformer (FIB).¶ Rather than applying the numerical technique of multi-parameter optimisation to solve for the beamformer parameters, we attempt to address the fundamental nature of the FIB problem. The general philosophy is to use a theoretical continuous sensor to derive relationships between a desired FI beampattern and the required signal processing structure. Beamforming using an array of discrete sensors can then be formulated as an approximation problem. This approach reveals a natural structure to the FIB which is otherwise buried in a numerical optimisation procedure.¶ Measured results from a microphone array are presented to verify that the simple FIB structure can be successfully implemented. We then consider imposing broadband pattern nulls in the FI beampattern, and show that (i) it is possible to impose an exact null which is present over all frequencies, and (ii) it is possible to calculate a priori how many constraints are required to achieve a null of a given depth in a FIB. We also show that the FIB can be applied to the problem of broadband direction of arrival (DOA) estimation and provides computational advantages over other broadband DOA estimators.¶ Through the theoretical continuous sensor approach, we show that the FIB theory can be generalised to the problem of designing a general broadband beamformer (GBB) which realizes a broadband angle-versus-frequency beampattern specification. Coupled with a technique for radial beampattern transformation, the GBB can be applied to a wide class of problems covering both nearfield beamforming (in which the shape of the impinging wavefront must be considered and farfield beamforming (which is simplified by the assumption of planar wavefronts) for a broadband beampattern specified over both angle and frequency.
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Lusina, Paul James. "Ka-broadband satellite communication using cyclostationary parabolic beamforming." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq22345.pdf.

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Wage, Kathleen E. "Broadband modal coherence and beamforming at megameter ranges." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86425.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
Includes bibliographical references (leaves 140-146).
by Kathleen E. Wage.
Ph.D.
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Li, Yunhong. "Broadband beamforming and direction finding using concentric ring array." Diss., Columbia, Mo. : University of Missouri-Columbia, 2005. http://hdl.handle.net/10355/4110.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2005.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (July 18, 2006) Vita. Includes bibliographical references.
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Abhayapala, P. Thushara D., and Thushara Abhayapala@anu edu au. "Modal Analysis and Synthesis of Broadband Nearfield Beamforming Arrays." The Australian National University. Telecommunications Engineering Group, 2000. http://thesis.anu.edu.au./public/adt-ANU20010905.121231.

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This thesis considers the design of a beamformer which can enhance desired signals in an environment consisting of broadband nearfield and/or farfield sources. The thesis contains: a formulation of a set of analysis tools which can provide insight into the intrinsic structure of array processing problems; a methodology for nearfield beamforming; theory and design of a general broadband beamformer; and a consideration of a coherent nearfield broadband adaptive beamforming problem. To a lesser extent, the source localization problem and background noise modeling are also treated. ¶: A set of analysis tools called modal analysis techniques which can be used to a solve wider class of array signal processing problems, is first formulated. The solution to the classical wave equation is studied in detail and exploited in order to develop these techniques. ¶: Three novel methods of designing a beamformer having a desired nearfield broadband beampattern are presented. The first method uses the modal analysis techniques to transform the desired nearfield beampattern to an equivalent farfield beampattern. A farfield beamformer is then designed for a transformed farfield beampattern which, if achieved, gives the desired nearfield pattern exactly. The second method establishes an asymptotic equivalence, up to complex conjugation, of two problems: (i) determining the nearfield performance of a farfield beampattern specification, and (ii) determining the equivalent farfield beampattern corresponding to a nearfield beampattern specification. Using this reciprocity relationship a computationally simple nearfield beamforming procedure is developed. The third method uses the modal analysis techniques to find a linear transformation between the array weights required to have the desired beampattern for farfield and nearfield, respectively. ¶: An efficient parameterization for the general broadband beamforming problem is introduced with a single parameter to focus the beamformer to a desired operating radius and another set of parameters to control the actual broadband beampattern shape. This parameterization is derived using the modal analysis techniques and the concept of the theoretical continuous aperture. ¶: A design of an adaptive beamformer to operate in a signal environment consisting of broadband nearfield sources, where some of interfering signals may be correlated with desired signal is also considered. Application of modal analysis techniques to noise modeling and broadband coherent source localization conclude the thesis.
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Nordebo, Sven. "Robust broadband beamforming and digital filter design : methods and applications." Doctoral thesis, Luleå tekniska universitet, 1995. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-25667.

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This doctoral thesis consists of a summary and six parts corresponding to six different papers. There are two published and three submitted journal papers, and one research report. The summary will highlight the main results and emphasize the interrelationships between different parts. The thesis comprises two main themes: robust broadband beamforming and digital filter design. In most of the papers in this thesis these concepts are closely related. Some of the results on digital filter design actually concern robust filter design, and one of the main contributions of this thesis concerns the possibility of anomalous designs when using conventional methods in the FIR filter design of broadband beamformers. Part I deals with robustness of broadband adaptive beamformers in the sense that there is an uncertainty in the frequency content and spatial location of the desired target signal. The adaptive beamformer should perform well over a region in space and frequency. This is achieved by defining the Spatial Filter designed Generalized Sidelobe Canceller (SFGSC), and by using an appropriate digital filter design. The novelty of the SFGSC method is the implementation of target signal constraints by using a filter design approach. With this strategy the constraints are approximated over a given design domain, rather than exactly implemented as with the conventional Generalized Sidelobe Canceller (GSC). With this new method (in contrast to the GSC) the SFGSC is able to handle a continuum of constraints. Part II introduces a quadratic programming formulation of the weighted Chebyshev FIR filter design problem for a broadband beamformer in the near-field. This technique may be used to design the digital filters of the broadband SFGSC described in Part I. Part III reveals that the digital filters of a broadband beamformer are incompletely specified whenever the beamformer is specified only in space and frequency. Using conventional filter design criteria with such incomplete specifications may lead to excessively large filter coefficients. Robust weighted least squares and weighted Chebyshev design criteria are introduced in order to avoid this anomaly. "Robustness" in this context means insensitivity to model imperfections such as sensor element placement errors, amplifier mismatch, etc. Again, the filters designed are typically components of the SFGSC described in Part I. Part IV addresses the problem of the non-uniqueness of the Chebyshev approximation for two-dimensional linear phase digital FIR filters. It is shown that the unique Chebyshev approximation having minimum Euclidean filter weight norm can be obtained by using a wellconditioned quadratic programming formulation. This is the same quadratic program that was used to define one of the robust beamformer designs in Part III. Part V deals with robust design for one-dimensional non-linear phase FIR filters which are incompletely specified. The conventional weighted Chebyshev solution can be obtained by using a quadratic programming formulation similar to that given in Part II. A robust weighted Chebyshev design criterion is defined by a modified quadratic program, similar to one of the robust design methods given in Part III. Part VI emphasizes the robustness of adaptive beamformers with respect to channel mismatch, sensor positioning, etc. In particular, the paper addresses the difficulty of mathematically modeling a beamformer for a small enclosure such as a car compartment. A calibrating scheme is proposed which is independent of array geometry and channel matching, and which calibrates the adaptive array to the given acoustic environment and to the given electronic equipment. Results from real measurements in a car compartment are included. An international patent is applied for based on this paper.
Godkänd; 1995; 20070426 (ysko)
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Koh, Choo Leng. "Broadband adaptive beamforming with low complexity and frequency invariant response." Thesis, University of Southampton, 2009. https://eprints.soton.ac.uk/69593/.

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This thesis proposes different methods to reduce the computational complexity as well as increasing the adaptation rate of adaptive broadband beamformers. This is performed exemplarily for the generalised sidelobe canceller (GSC) structure. The GSC is an alternative implementation of the linearly constrained minimum variance beamformer, which can utilise well-known adaptive filtering algorithms, such as the least mean square (LMS) or the recursive least squares (RLS) to perform unconstrained adaptive optimisation. A direct DFT implementation, by which broadband signals are decomposed into frequency bins and processed by independent narrowband beamforming algorithms, is thought to be computationally optimum. However, this setup fail to converge to the time domain minimum mean square error (MMSE) if signal components are not aligned to frequency bins, resulting in a large worst case error. To mitigate this problem of the so-called independent frequency bin (IFB) processor, overlap-save based GSC beamforming structures have been explored. This system address the minimisation of the time domain MMSE, with a significant reduction in computational complexity when compared to time-domain implementations, and show a better convergence behaviour than the IFB beamformer. By studying the effects that the blocking matrix has on the adaptive process for the overlap-save beamformer, several modifications are carried out to enhance both the simplicity of the algorithm as well as its convergence speed. These modifications result in the GSC beamformer utilising a significantly lower computational complexity compare to the time domain approach while offering similar convergence characteristics. In certain applications, especially in the areas of acoustics, there is a need to maintain constant resolution across a wide operating spectrum that may extend across several octaves. To attain constant beamwidth is diffcult, particularly if uniformly spaced linear sensor array are employed for beamforming, since spatial resolution is reciprocally proportional to both the array aperture and the frequency. A scaled aperture arrangement is introduced for the subband based GSC beamformer to achieve near uniform resolution across a wide spectrum, whereby an octave-invariant design is achieved. This structure can also be operated in conjunction with adaptive beamforming algorithms. Frequency dependent tapering of the sensor signals is proposed in combination with the overlap-save GSC structure in order to achieve an overall frequency-invariant characteristic. An adaptive version is proposed for frequency-invariant overlap-save GSC beamformer. Broadband adaptive beamforming algorithms based on the family of least mean squares (LMS) algorithms are known to exhibit slow convergence if the input signal is correlated. To improve the convergence of the GSC when based on LMS-type algorithms, we propose the use of a broadband eigenvalue decomposition (BEVD) to decorrelate the input of the adaptive algorithm in the spatial dimension, for which an increase in convergence speed can be demonstrated over other decorrelating measures, such as the Karhunen-Loeve transform. In order to address the remaining temporal correlation after BEVD processing, this approach is combined with subband decomposition through the use of oversampled filter banks. The resulting spatially and temporally decorrelated GSC beamformer provides further enhanced convergence speed over spatial or temporal decorrelation methods on their own.
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Uthansakul, Monthippa. "Wideband beamforming employing fully spatial signal processing /." [St. Lucia, Qld.], 2006. http://adt.library.uq.edu.au/public/adt-QU20070503.135836/index.html.

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Books on the topic "Broadband beamforming"

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Wage, Kathleen E. Broadband modal coherence and beamforming at megameter ranges. Cambridge, Mass: Massachusetts Institute of Technology, 2000.

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Liu, Wei. Wideband beamforming: Concepts and techniques. Chichester, West Sussex, U.K: Wiley, 2010.

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Omans, Glenn A. Broadband modal beamforming of acoustic tomography signals acquired by a vertical array. Monterey, Calif: Naval Postgraduate School, 1992.

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Behrle, Charles D. Computer simulation studies of multiple broadband target localization via frequency domain beamforming for planar arrays. Monterey, California: Naval Postgraduate School, 1988.

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Breckenridge, Richard P. Localization of multiple broadband targets in spherical coordinates via adaptive beamforming and non-linear estimation. Monterey, Calif: Naval Postgraduate School, 1989.

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Liu, Wei, and Stephan Weiss. Wideband Beamforming. Wiley & Sons, Incorporated, John, 2010.

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Liu, Wei, and Stephan Weiss. Wideband Beamforming: Concepts and Techniques. Wiley & Sons, Incorporated, John, 2010.

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Liu, Wei, and Stephan Weiss. Wideband Beamforming: Concepts and Techniques. Wiley & Sons, Limited, John, 2010.

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Book chapters on the topic "Broadband beamforming"

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Yan, Shefeng. "Frequency-Domain Broadband Beamforming." In Springer Topics in Signal Processing, 29–46. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6802-8_2.

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Yan, Shefeng. "Time-Domain Broadband Beamforming." In Springer Topics in Signal Processing, 105–29. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6802-8_4.

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Prasad, Ramjee, Muhammad Imadur Rahman, Suvra Sekhar Das, and Nicola Marchetti. "Transmit Diversity Vs Beamforming." In Single- And Multi-Carrier Mimo Transmission for Broadband Wireless Systems, 233–63. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339533-10.

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Wang, Yan, Wenfeng Wu, and Guolong Liang. "Robust Broadband Adaptive Beamforming Based on Probability Constraint." In Springer Proceedings in Physics, 71–81. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1239-1_7.

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Wang, Dongxia, Fuliang Yin, and Fuming Sun. "A Blind Broadband Beamforming Method for Speech Enhancement." In Lecture Notes in Electrical Engineering, 391–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12990-2_44.

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Li, Shuai, Xiaopeng Yang, Junqi Xue, and Xuchen Wu. "Robust Broadband Adaptive Beamforming with Constant Beamwidth for Moving Interference Suppression." In Lecture Notes in Electrical Engineering, 241–48. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6264-4_29.

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Zhang, Chengwen, Xuanhong Yan, Shizeng Guo, and Chenguang He. "Research on Beamforming Algorithm for Group Scenario in Broadband Trunking System Downlink." In Lecture Notes in Electrical Engineering, 978–87. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6571-2_118.

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Lavrov, Alexander P., Sergey I. Ivanov, and Igor I. Saenko. "Investigation of Analog Photonics Based Broadband Beamforming System for Receiving Antenna Array." In Lecture Notes in Computer Science, 647–55. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10353-2_60.

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Lv, Qi, Xianda Zhang, and Ying Jia. "Blind Separation Combined Frequency Invariant Beamforming and ICA for Far-field Broadband Acoustic Signals." In Advances in Neural Networks – ISNN 2005, 538–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11427445_88.

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Nordholm, Sven E., Hai H. Dam, Chiong C. Lai, and Eric A. Lehmann. "Broadband Beamforming and Optimization." In Academic Press Library in Signal Processing, 553–98. Elsevier, 2014. http://dx.doi.org/10.1016/b978-0-12-411597-2.00013-8.

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Conference papers on the topic "Broadband beamforming"

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Piper, John E. "Broadband beamforming." In OCEANS 2011. IEEE, 2011. http://dx.doi.org/10.23919/oceans.2011.6107011.

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Hong, John H. "Broadband Phased Array Beamforming." In SPIE 1989 Technical Symposium on Aerospace Sensing, edited by Shi-Kay Yao. SPIE, 1989. http://dx.doi.org/10.1117/12.960547.

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Glegg, Stewart A., Christopher Hickling, N. Agastya Balantrapu, Jarrod T. Banks, Humza Butt, William N. Alexander, and William J. Devenport. "Beamforming of Broadband Rotor Noise." In AIAA AVIATION 2021 FORUM. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2021. http://dx.doi.org/10.2514/6.2021-2189.

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Lin, Shih-Chun, John Hong, R. Scott Boughton, and Demetri Psaltis. "Broadband Beamforming Via Acousto-Optics." In 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, edited by Dennis R. Pape. SPIE, 1988. http://dx.doi.org/10.1117/12.946929.

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Goguri, Sairam, Raghuraman Mudumbai, D. Richard Brown, Soura Dasgupta, and Upamanyu Madhow. "Capacity maximization for distributed broadband beamforming." In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2016. http://dx.doi.org/10.1109/icassp.2016.7472316.

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Chhetri, Amit, Mohamed Mansour, Wontak Kim, and Guangdong Pan. "On Acoustic Modeling for Broadband Beamforming." In 2019 27th European Signal Processing Conference (EUSIPCO). IEEE, 2019. http://dx.doi.org/10.23919/eusipco.2019.8902947.

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Longyang Huang, Liping Cai, Bin Shen, and Zemin Liu. "Subband method for broadband arrays beamforming." In 2008 International Conference on Microwave and Millimeter Wave Technology (ICMMT). IEEE, 2008. http://dx.doi.org/10.1109/icmmt.2008.4540638.

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Menargues, E., S. Capdevila, T. Debogovic, A. Dimitriadis, J. R. Mosig, A. Skrivervik, and E. de Rijk. "Compact Orthomode Transducer with Broadband Beamforming Capability." In 2018 IEEE/MTT-S International Microwave Symposium - IMS 2018. IEEE, 2018. http://dx.doi.org/10.1109/mwsym.2018.8439834.

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Redif, Soydan, John McWhirter, Paul Baxter, and Thomas Cooper. "Robust Broadband Adaptive Beamforming via Polynomial Eigenvalues." In OCEANS 2006. IEEE, 2006. http://dx.doi.org/10.1109/oceans.2006.307113.

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Liu, Wei. "Adaptive Broadband Beamforming with Spatial-Only Information." In 2007 15th International Conference on Digital Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/icdsp.2007.4288647.

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You might also be interested in the extended bibliographies on the topic 'Broadband beamforming' for particular source types:
Journal articles Dissertations / Theses
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