An eigenanalysis interference canceler

Haimovich, Alexander M.; Bar-Ness, Y.

doi:10.1109/78.80767

Cited by 288 publications

(201 citation statements)

References 17 publications

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“…Due to its effectiveness, the idea of removing the desired signal before computing the weights has been widely applied for antenna array beamforming [5][6][7][8][9][10]. Notable among them are [5,8]. In [5], the authors proposed an eigencanceler constraining the weight vector to be orthogonal to the interference subspace instead of the conventional LCMV criteria.…”

Section: Introductionmentioning

confidence: 99%

“…Notable among them are [5,8]. In [5], the authors proposed an eigencanceler constraining the weight vector to be orthogonal to the interference subspace instead of the conventional LCMV criteria.…”

Section: Introductionmentioning

confidence: 99%

“…It was shown that the eigencanceler can eliminate interference efficiently and has a fast convergence rate. Nevertheless, the signal blocking effect is still unknown in both [5] and [8].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Finite Data Performance Analysis of LCMV Antenna Array Beamformers With and Without Signal Blocking

Chen

Lee²

2012

PIER

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Abstract-A linearly constrained minimum variance (LCMV) antenna array beamformer using finite data samples suffers from slow convergence when the received array data contain the desired signal. It has been reported that signal blocking techniques speed up the convergence rate and increase the robustness of LCMV antenna array beamformers. However, the reason of this improvement has not been explored in the literature. Moreover, the existing formulas for the output signal-to-interference-plus-noise ratio (SINR) are too rough to realize the influence of signal blocking techniques on the performance. In this paper, we show that the correlation due to finite samples causes the redundant component (termed as the cross weight) embedded in the weight vector of a LCMV beamformer even if the signal sources and noise are independent. The cross power results from the cross weight degrades the performance when the sample size is small. In contrast, the cross weight and cross power can be fully eliminated when a signal blocking technique is used. The theoretical results presented in this paper provide a comprehensive description on the effectiveness and the price of using signal blocking for antenna array beamforming. Simulation results are also given for confirming the validity of the theoretical results.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…It was shown that the eigencanceler can eliminate interference efficiently and has a fast convergence rate. Nevertheless, the signal blocking effect is still unknown in both [5] and [8].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Finite Data Performance Analysis of LCMV Antenna Array Beamformers With and Without Signal Blocking

Chen

Lee²

2012

PIER

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“…The adaptation of the low-order filter within the lower dimensional subspace results in significant computational savings, faster convergence speed and better tracking performance. The first statistical reduced-rank method was based on a principal-components (PC) decomposition of the target-free covariance matrix [4]. Another class of eigen-decomposition methods was based on the cross-spectral metric (CSM) [8].…”

Section: Introductionmentioning

confidence: 99%

Reduced-Rank STAP Schemes for Airborne Radar Based on Switched Joint Interpolation, Decimation and Filtering Algorithm

Lamare

Wang

2010

IEEE Trans. Signal Process.

139

121

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An eigenanalysis interference canceler with robust capabilities

Chang

Chiang

Chen

2000

Microw. Opt. Technol. Lett.

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This paper incorporates robust capability into adaptive array beamforming based on the eigenanalysis interference canceler (EIC). It has been shown that the EIC demonstrates the advantages of fast convergence speed and maximal suppression of interference over the conventional beamformers. However, the performance of the EIC is very sensitive to a pointing error, especially when the interference number is overestimated. Projecting the incorrect steering vector onto the signal subspace, we present a robust technique where an appropriate blocking matrix is constructed in the EIC to mitigate the effect of the pointing error. Employing the corrected steering vector, the signal cancellation can be overcome even if the interference number is overestimated. Computer simulations are provided to illustrate the robust capability of the proposed technique. © 2000 John Wiley & Sons, Inc. Microwave Opt Technol Lett 25: 100–103, 2000.

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An eigenanalysis interference canceler

Cited by 288 publications

References 17 publications

Finite Data Performance Analysis of LCMV Antenna Array Beamformers With and Without Signal Blocking

Finite Data Performance Analysis of LCMV Antenna Array Beamformers With and Without Signal Blocking

Reduced-Rank STAP Schemes for Airborne Radar Based on Switched Joint Interpolation, Decimation and Filtering Algorithm

An eigenanalysis interference canceler with robust capabilities

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