TR2012-031

Persymmetric Parametric Adaptive Matched Filter for Multichannel Adaptive Signal Detection


    •  Wang, P.; Sahinoglu, Z.; Pun, M.-O.; Li, H., "Persymmetric Parametric Adaptive Matched Filter for Multichannel Adaptive Signal Detection", IEEE Transactions on Signal Processing, DOI: 10.1109/TSP.2012.2190411, Vol. 60, No. 6, pp. 3322-3328, March 2012.
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      • @article{Wang2012mar4,
      • author = {Wang, P. and Sahinoglu, Z. and Pun, M.-O. and Li, H.},
      • title = {Persymmetric Parametric Adaptive Matched Filter for Multichannel Adaptive Signal Detection},
      • journal = {IEEE Transactions on Signal Processing},
      • year = 2012,
      • volume = 60,
      • number = 6,
      • pages = {3322--3328},
      • month = mar,
      • doi = {10.1109/TSP.2012.2190411},
      • url = {http://www.merl.com/publications/TR2012-031}
      • }
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  • Research Areas:

    Electronics & Communications, Signal Processing


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This paper considers a parametric approach for multichannel adaptive signal detection in Gaussian disturbance which can be modeled as a multichannel auto-regressive (AR) process and, moreover, possesses a persymmetric structure induced by a symmetric antenna geometry. By introducing the persymmetric AR (PAR) modeling for the disturbance, a persymmetric parametric adaptive matched filter (Per-PAMF) is proposed. The developed Per-PAMF extends the classical PAMF by exploiting the underlying persymmetric properties and, hence, improves the detection performance in training-limited scenarios. The performance of the proposed Per-PAMF is examined by the Monte-Carlo simulations and simulation results demonstrate the effectiveness of the Per-PAMF compared with the conventional PAMF and non-parametric detectors.