Relevant bibliographies by topics / Frequency invariant beamformer

Academic literature on the topic 'Frequency invariant beamformer'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 January 2023

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Journal articles on the topic "Frequency invariant beamformer"

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Xie, Ning, Hui Wang, and Hongwei Liu. "Broadband Frequency Invariant Beamformer." Wireless Personal Communications 61, no. 1 (May 22, 2010): 143–59. http://dx.doi.org/10.1007/s11277-010-0015-7.

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Wei Liu, D. C. McLernon, and M. Ghogho. "Design of Frequency Invariant Beamformer Without Temporal Filtering." IEEE Transactions on Signal Processing 57, no. 2 (February 2009): 798–802. http://dx.doi.org/10.1109/tsp.2008.2008557.

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Yan, Shefeng. "Optimal design of FIR beamformer with frequency invariant patterns." Applied Acoustics 67, no. 6 (June 2006): 511–28. http://dx.doi.org/10.1016/j.apacoust.2005.09.008.

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Du, Rui, Yangyu Fan, and Jianshu Wang. "Design of Fixed Wideband Beamformer through Improved Maximum Energy Approach." Journal of Electrical and Computer Engineering 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/7912364.

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A maximum energy approach is investigated in this paper to design fixed wideband beamformer. This approach has been improved by integrating response variation (RV) into the target function to maintain the frequency invariant property of wideband beamformer over the whole passband. Two methods for designing null to suppress interference signal also have been proposed to make the wideband beamformer robust in complicated environment. Comparisons among other methods are provided to illustrate the effectiveness and enhancement of performance of the new approaches.
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Greco, Danilo, and Andrea Trucco. "Superdirective Robust Algorithms’ Comparison for Linear Arrays." Acoustics 2, no. 3 (September 22, 2020): 707–18. http://dx.doi.org/10.3390/acoustics2030038.

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Frequency-invariant beam patterns are often required by systems using an array of sensors to process broadband signals. In some experimental conditions (small devices for underwater acoustic communication), the array spatial aperture is shorter than the involved wavelengths. In these conditions, superdirective beamforming is essential for an efficient system. We present a comparison between two methods that deal with a data-independent beamformer based on a filter-and-sum structure. Both methods (the first one numerical, the second one analytic) formulate a mathematical convex minimization problem, in which the variables to be optimized are the filters coefficients or frequency responses. The goal of the optimization is to obtain a frequency invariant superdirective beamforming with a tunable tradeoff between directivity and frequency-invariance. We compare pros and cons of both methods measured through quantitative metrics to wrap up conclusions and further proposed investigations.
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Yong Zhao and Wei Liu. "Robust Fixed Frequency Invariant Beamformer Design Subject to Norm-Bounded Errors." IEEE Signal Processing Letters 20, no. 2 (February 2013): 169–72. http://dx.doi.org/10.1109/lsp.2012.2237028.

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Zhang, Weicheng, and Zengping Chen. "Design of Frequency Invariant Wideband Beamformer with Real and Symmetric FIR Filters." Defence Science Journal 62, no. 4 (July 6, 2012): 243–47. http://dx.doi.org/10.14429/dsj.62.965.

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Cho, Kyeongwon, Kyoung Won Nam, Jun Chang Lee, Sung Hwa Hong, See Youn Kwon, Jonghee Han, Dongwook Kim, Sangmin Lee, and In Young Kim. "A comparison of frequency-invariant beamforming algorithms for hearing aids: Differential microphone-based beamformers and the broadband beamformer." Biomedical Engineering Letters 4, no. 2 (June 2014): 166–75. http://dx.doi.org/10.1007/s13534-014-0131-5.

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KOH, J., W. ZHOU, and T. KIM. "Wideband DOA Estimation Using a Frequency-Domain Frequency-Invariant Beamformer and a Matrix Pencil Method." IEICE Transactions on Communications E91-B, no. 4 (April 1, 2008): 1235–38. http://dx.doi.org/10.1093/ietcom/e91-b.4.1235.

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Zhao, Y., W. Liu, and R. Langley. "Application of the least squares approach to fixed beamformer design with frequency-invariant constraints." IET Signal Processing 5, no. 3 (2011): 281. http://dx.doi.org/10.1049/iet-spr.2009.0300.

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Dissertations / Theses on the topic "Frequency invariant beamformer"

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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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Ward, Darren Brett. "Theory and application of broadband frequency invariant beamforming." Phd thesis, 1996. http://hdl.handle.net/1885/49259.

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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). ¶ ...
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Ye, Yi-Jyun, and 葉亦峻. "Frequency-Invariant Broadband Antenna Array Beamformer with Linearly Constrained Adaptation Algorithms." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/27791096345527320705.

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碩士
國立中山大學
電機工程學系研究所
93
Spatial processing that exploits the diversity provided by smart antenna arrays, in which the adaptive beamformer is employed, is another alternative to increase the efficiency of wireless system capacity and performance without allocating additional frequency spectrum. An array beamformer is a processor used in conjunction with an array of sensors to provide a versatile form of spatial filtering; it can be designed to form main lobe in direction corresponding to the desired source and nulling the interferences from others direction. They are two types of adaptive array beamformer structures, viz., broadband and narrowband array structures. To deal with the wideband desired signal or interferences the broadband array beamformer is preferred. For broadband interferences suppression, many adaptive array beamforming algorithms, based on the linearly constrained have been extensively used. In this thesis, the beamspace approach for designing the broadband antenna array beamformer, with frequency invariant character, is devised and implemented with the sliding window linearly constrained RLS (SW-LC-RLS) algorithm, to deal with the broadband moving jammers (or interferences) suppression. Also, to combat the pointing error effect of desired user’s look direction, the derivative constraint is adopted for devising the derivative SW-LC-RLS beamforming algorithm for broadband moving jammers suppression. Computer simulation results confirmed that the proposed scheme is more robust against the moving jammers over the conventional algorithms. It can be applied to the existing wideband wireless communications systems to achieve desired performance for supporting high data rate communication services.
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Conference papers on the topic "Frequency invariant beamformer"

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Liu, Hongwei, Ning Xie, and Hui Wang. "A survey of broadband frequency invariant beamformer." In 2010 2nd International Conference on Future Computer and Communication. IEEE, 2010. http://dx.doi.org/10.1109/icfcc.2010.5497722.

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Hai Huyen Dam, Dedi Rimantho, and Sven Nordholm. "Frequency invariant beamformer robust against array element mismatch." In 2013 9th International Conference on Information, Communications & Signal Processing (ICICS). IEEE, 2013. http://dx.doi.org/10.1109/icics.2013.6782891.

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Liu, Wei, and Stephan Weiss. "Design of Frequency Invariant Beamformer for Broadband Arrays." In 2007 International workshop on Antenna Technology: Small and Smart Antennas Metamaterials and Applications. IEEE, 2007. http://dx.doi.org/10.1109/iwat.2007.370150.

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Liang, Huanhui, Yuanping Zhou, and Wenming Tang. "A Novel Design of a Frequency-Invariant Beamformer." In 2007 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications. IEEE, 2007. http://dx.doi.org/10.1109/mape.2007.4393676.

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Mars, Rohith, V. G. Reju, and Andy W. H. Khong. "A frequency-invariant fixed beamformer for speech enhancement." In 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA). IEEE, 2014. http://dx.doi.org/10.1109/apsipa.2014.7041712.

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Li, Jing, and Huawei Chen. "Robust frequency invariant beamformer design using variably-weighted constrained least squares." In 2011 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). IEEE, 2011. http://dx.doi.org/10.1109/icspcc.2011.6061615.

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Zhang, Xin, Wee Ser, and Karthik Muralidhar. "Uniform circular broadband beamformer with selective frequency and spatial invariant region." In 2009 IEEE International Symposium on Circuits and Systems - ISCAS 2009. IEEE, 2009. http://dx.doi.org/10.1109/iscas.2009.5118234.

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Weiss, Stephan, Mark Hadley, and Jon Wilcox. "Implementation of a Flexible Frequency-Invariant Broadband Beamformer Based on Fourier Properties." In 2017 Sensor Signal Processing for Defence Conference (SSPD). IEEE, 2017. http://dx.doi.org/10.1109/sspd.2017.8233239.

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Hou, Peng, Chunyan Xia, and Wenshuai Liu. "Efficient design of nearfield focused beamformer with frequency invariant patterns for vertical line array." In 2013 IEEE International Conference on Signal Processing, Communications and Computing. IEEE, 2013. http://dx.doi.org/10.1109/icspcc.2013.6664118.

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Barfuss, Hendrik, Michael Buerger, Jasper Podschus, and Walter Kellermann. "HRTF-based two-dimensional robust least-squares frequency-invariant beamformer design for robot audition." In 2017 Hands-free Speech Communications and Microphone Arrays (HSCMA). IEEE, 2017. http://dx.doi.org/10.1109/hscma.2017.7895561.

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