A method of sidelobe cancellation using wavelet packets

Cahill, P.E.; Gerlach, K.; Li, F.C.

doi:10.1109/nrc.2004.1316462

Cited by 4 publications

(4 citation statements)

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“…No signal samples were assumed in the training data. Plotted is the SINR as a function of the fractional bandwidth, fb [5]. Both signal and interference have the same fractional bandwidth, which is defined as the ratio of the impinging signal bandwidth to the array center frequency.…”

Section: Results and Conclusionmentioning

confidence: 99%

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Wideband Adaptive Beamforming Using Linear Phase Filterbanks

Vouras

Tran

2006

2006 Fortieth Asilomar Conference on Signals, Systems and Computers

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Key Words: linear phase filter banks, adaptive beamforming, wideband SUMMARY & CONCLUSIONS This paper describes the use of linear phase filter banks to perform wideband adaptive beamforming. The application of two types of filter banks is investigated. First, a simple Discrete Fourier Transform Filter Bank (DFTFB) is examined, and second a Linear Phase Paraunitary Filter Bank (LPPUFB) designed using nonlinear optimization techniques is reviewed. For both filter banks, it is shown that computing and applying the optimal beamformer weights independently for different frequency bands yields better performance than a narrowband beamformer.

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Section: Results and Conclusionmentioning

confidence: 99%

“…where u(po) is the N-by-I target steering vector defined as u (0) = i, ejloo ...P°e j(N-1)PO (5) and u(vi), 1 < i < L-1, are the interference steering vectors.…”

Section: Introductionmentioning

confidence: 99%

Wideband Adaptive Beamforming Using Linear Phase Filterbanks

Vouras

Tran

2006

2006 Fortieth Asilomar Conference on Signals, Systems and Computers

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“…A lot of current research has focused on the use of filter banks in adaptive sidelobe cancellation. Examples of this approach are described in References [1] and [2]. The general theory of filter banks is described in Reference [3].…”

Section: Filter Banksmentioning

confidence: 99%

“…, was used to derive the analysis and synthesis filters of the PCFB. The simulated data for the main and auxiliary channels was generated using the same code originally developed by the authors of References [1] and [2] and generously shared with this author. This signal generation code generates the thermal noise and jamming in the main and auxiliary channels and accounts for the time delay between the two channels.…”

Section: Principal Component Filter Banksmentioning

confidence: 99%

Principal component filter bank for band partitioned sidelobe cancellation

Vouras

Tran

IEEE International Radar Conference, 2005.

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Principal component filter banks (PCFBs) have been shown to be optimal, if they exist, for a variety of signal processing applications. Ideally, the filters in PCFBs are the eigenvectors of the spectral density matrix of the input random process and therefore depend on the statistics of the input random process. This paper investigates the application of PCFBs to the problem of band partitioned sidelobe cancellation for a two channel canceler. In this context, the filters are the eigenvectors of the cross-spectral density matrix. The ideal filters have an infinite impulse response and are not realizable. Therefore, they must be approximated. Several algorithms are available, but in this paper, the PCFB filters were approximated using a simple, although suboptimal, window method. The cancellation performance of the PCFB was compared to the performance of a time domain Gram-Schmidt canceler, and band partitioned cancelers utilizing a Dyadic Filter Bank, a Wavelet Packet Filter Bank (WPFB), a Cosine Modulated Filter Bank (CMFB), and a maximally decimated Discrete Fourier Transform Filter Bank (DFTFB). The performance of the approximated PCFB was found to be better than the time domain and dyadic cancelers, but not as good as the DFT, wavelet packet, and cosine modulated cancelers. This shortfall is attributed to the approximation of the ideal PCFB filters.

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A low-cost narrow-beamwidth DBF radar concept

Tang

2012

2012 IEEE Asia-Pacific Conference on Antennas and Propagation

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A method of sidelobe cancellation using wavelet packets

Cited by 4 publications

References 1 publication

Wideband Adaptive Beamforming Using Linear Phase Filterbanks

Wideband Adaptive Beamforming Using Linear Phase Filterbanks

Principal component filter bank for band partitioned sidelobe cancellation

A low-cost narrow-beamwidth DBF radar concept

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