The hybrid Frost's beamforming algorithm for multiple jammers suppression

Chern, Shiunn-Jang; Sung, Chih‐Yuan

doi:10.1016/0165-1684(94)00148-s

Cited by 5 publications

(6 citation statements)

References 10 publications

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“…6) a hybrid method that uses an orthogonal transformation on data available from the TDL structure before applying weights [131] to improve its performance in multipath environment; 7) weighted Chebyshev method [134]; 8) two-sided correlation transformation method [135].…”

Section: H Partitioned Realizationmentioning

confidence: 99%

Application of antenna arrays to mobile communications. II. Beam-forming and direction-of-arrival considerations

1997

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Array processing involves manipulation of signals induced on various antenna elements. Its capabilities of steering nulls to reduce cochannel interferences and pointing independent beams toward various mobiles, as well as its ability to provide estimates of directions of radiating sources, make it attractive to a mobile communications system designer. Array processing is expected to play an important role in fulfilling the increased demands of various mobile communications services. Part I of this paper showed how an array could be utilized in different configurations to improve the performance of mobile communications systems, with references to various studies where feasibility of an array system for mobile communications is considered. This paper provides a comprehensive and detailed treatment of different beam-forming schemes, adaptive algorithms to adjust the required weighting on antennas, direction-of-arrival estimation methods-including their performance comparison-and effects of errors on the performance of an array system, as well as schemes to alleviate them. This paper brings together almost all aspects of array signal processing. It is presented at a level appropriate to nonexperts in the field and contains a large reference list to probe further.

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Section: H Partitioned Realizationmentioning

confidence: 99%

Application of antenna arrays to mobile communications. II. Beam-forming and direction-of-arrival considerations

1997

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“…For the Samsung Galaxy S2, the inter-element distance, d, is 12 cm [10] and this sets the upper frequency limit without spatial aliasing. Second, the curves of the acoustic waveforms (noise and desired sound sources) are spherical and hence, far-field (planar wave) approximations [9] would have to be made for Eqn.…”

Section: Acoustic Beamforming In Android Smartphonesmentioning

confidence: 99%

“…Similarly, adaptive beamforming techniques are data-independent and exhibit a better noise reduction capability with recourse to the changing acoustic surroundings than the fixed beamformers [1,[5][6][7]. Examples include linear constrained minimum variance (LCMV), generalised sidelobe canceller (GSC), Frost and regulated-element [1,[8][9][10]. However, fixed beamformers are easy to implement, have a low computational complexity and do not require control algorithms to check signal distortion and cancellation.…”

Section: Acoustic Beamforming In Android Smartphonesmentioning

confidence: 99%

“…First, the location of the acoustic sensors and their inter-element spacing make the MAB to be prone to spatial aliasing. From general optics, spatial aliasing occurs when the inter-element spacing between the sensors is larger than half the wavelength of the incident desired signal [9][10][11][12][13][14][15]. Mathematically, the inter-element spacing is given by:…”

Section: Acoustic Beamforming In Android Smartphonesmentioning

confidence: 99%

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Acoustic signal gain enhancement and speech recognition improvement in smartphones using the REF beamforming algorithm

Adebisi

Ekpo

Sabagh

et al. 2014

2014 9th International Symposium on Communication Systems, Networks &Amp; Digital Sign (CSNDSP)

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Smartphones deploy multiple microphones to reduce background noise, reverberation and interferences. This paper presents the regulated Frost beamformer (REF) for acoustic gain enhancement and speech recognition improvement in smartphones. Conventional and adaptive beamformers were investigated with recourse to the acoustic transducer specifications of the Samsung Galaxy S2 device. The REF algorithm outperforms the time delay and Frost beamformers by over 5 dB and 2 dB respectively. Moreover, the minimum array gain is 5 dB (REF) as opposed to the floor gain of 2 dB. Compared with the delay-and-sum and Frost beamformers, the output waveform of the REF beamformer is the closest to the desired signal.

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“…To achieve some special performance like the robustness and the desired interference and noise suppression performance in different applications, some variations of the Frost beamformer and the GSC beamformer have been designed [25][26][27][28][29][30][31][32][33].…”

Section: Overview Of Broadband Beamforming Techniques I) Broadband Timentioning

confidence: 99%

Array signal processing techniques for broadband beamforming

Huang¹

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The hybrid Frost's beamforming algorithm for multiple jammers suppression

Cited by 5 publications

References 10 publications

Application of antenna arrays to mobile communications. II. Beam-forming and direction-of-arrival considerations

Application of antenna arrays to mobile communications. II. Beam-forming and direction-of-arrival considerations

Acoustic signal gain enhancement and speech recognition improvement in smartphones using the REF beamforming algorithm

Array signal processing techniques for broadband beamforming

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