Training and signal cancellation in adaptive radar

Alexander Haimovich, M. L. Pugh, M. O. Berin

Research output: Contribution to conferencePaper

7 Citations (Scopus)

Abstract

It is well known that the performance of adaptive arrays is affected by calibration errors. In particular, target cancellation occurs when there are calibration errors and/or the target signal is present during the computation of the array covariance matrix. Due to the mismatch between the presumed steering vector and the true signal vector, the target is not properly protected by the steering vector, it is interpreted as an interference, and the array proceeds to cancel it. Signal cancellation effects are particularly evident when the SMI method is employed. Researchers have suggested one of two main approaches to mitigate the signal cancellation problem: (1) modification of the beamformer constraints to widen the desired signal protection region and lessen the effects of calibration errors, and (2) modifications of the steering vector. In this work we analyze the robustness of eigenanalysis-based adaptive beamforming and compare its performance to the SMI method. It is shown that the eigenanalysis-based method is more robust to array pointing errors and to the presence of the target signal during training. Analytical expressions are developed and the results are illustrated using realistic scenarios generated by the Rome Laboratory RLSTAP algorithm development tool.

Original languageEnglish (US)
Pages124-129
Number of pages6
StatePublished - Jan 1 1996
EventProceedings of the 1996 IEEE National Radar Conference - Ann Arbor, MI, USA
Duration: May 13 1996May 16 1996

Other

OtherProceedings of the 1996 IEEE National Radar Conference
CityAnn Arbor, MI, USA
Period5/13/965/16/96

Fingerprint

Radar
Calibration
Beamforming
Covariance matrix

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Haimovich, A., Pugh, M. L., & Berin, M. O. (1996). Training and signal cancellation in adaptive radar. 124-129. Paper presented at Proceedings of the 1996 IEEE National Radar Conference, Ann Arbor, MI, USA, .
Haimovich, Alexander ; Pugh, M. L. ; Berin, M. O. / Training and signal cancellation in adaptive radar. Paper presented at Proceedings of the 1996 IEEE National Radar Conference, Ann Arbor, MI, USA, .6 p.
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year = "1996",
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note = "Proceedings of the 1996 IEEE National Radar Conference ; Conference date: 13-05-1996 Through 16-05-1996",

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Haimovich, A, Pugh, ML & Berin, MO 1996, 'Training and signal cancellation in adaptive radar' Paper presented at Proceedings of the 1996 IEEE National Radar Conference, Ann Arbor, MI, USA, 5/13/96 - 5/16/96, pp. 124-129.

Training and signal cancellation in adaptive radar. / Haimovich, Alexander; Pugh, M. L.; Berin, M. O.

1996. 124-129 Paper presented at Proceedings of the 1996 IEEE National Radar Conference, Ann Arbor, MI, USA, .

Research output: Contribution to conferencePaper

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AU - Pugh, M. L.

AU - Berin, M. O.

PY - 1996/1/1

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N2 - It is well known that the performance of adaptive arrays is affected by calibration errors. In particular, target cancellation occurs when there are calibration errors and/or the target signal is present during the computation of the array covariance matrix. Due to the mismatch between the presumed steering vector and the true signal vector, the target is not properly protected by the steering vector, it is interpreted as an interference, and the array proceeds to cancel it. Signal cancellation effects are particularly evident when the SMI method is employed. Researchers have suggested one of two main approaches to mitigate the signal cancellation problem: (1) modification of the beamformer constraints to widen the desired signal protection region and lessen the effects of calibration errors, and (2) modifications of the steering vector. In this work we analyze the robustness of eigenanalysis-based adaptive beamforming and compare its performance to the SMI method. It is shown that the eigenanalysis-based method is more robust to array pointing errors and to the presence of the target signal during training. Analytical expressions are developed and the results are illustrated using realistic scenarios generated by the Rome Laboratory RLSTAP algorithm development tool.

AB - It is well known that the performance of adaptive arrays is affected by calibration errors. In particular, target cancellation occurs when there are calibration errors and/or the target signal is present during the computation of the array covariance matrix. Due to the mismatch between the presumed steering vector and the true signal vector, the target is not properly protected by the steering vector, it is interpreted as an interference, and the array proceeds to cancel it. Signal cancellation effects are particularly evident when the SMI method is employed. Researchers have suggested one of two main approaches to mitigate the signal cancellation problem: (1) modification of the beamformer constraints to widen the desired signal protection region and lessen the effects of calibration errors, and (2) modifications of the steering vector. In this work we analyze the robustness of eigenanalysis-based adaptive beamforming and compare its performance to the SMI method. It is shown that the eigenanalysis-based method is more robust to array pointing errors and to the presence of the target signal during training. Analytical expressions are developed and the results are illustrated using realistic scenarios generated by the Rome Laboratory RLSTAP algorithm development tool.

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Haimovich A, Pugh ML, Berin MO. Training and signal cancellation in adaptive radar. 1996. Paper presented at Proceedings of the 1996 IEEE National Radar Conference, Ann Arbor, MI, USA, .