Accession Number

ADA564383

Title

Toward an Integrated Framwork for DataEfficient Parametric Adaptive Detection.

Publication Date

Feb 2012

Media Count

47p

Personal Author

H. Li

Abstract

The conjugategradient (CG) algorithm is investigated for reduced rank STAP detection. A family of CG matched filter (CGMF) is developed by using the kth iteration of the CG in solving the WienerHopf equation. The performance the CGMF detectors is examined for two cases. The first involves an arbitrary covariance matrix. It is shown that each CGMF detector 1) yields the highest output SINR and smallest MSE among all linear solutions in the Krylov subspace; and 2) is CFAR with nondecreasing detection probability as k increases. The second is a structured case frequently encountered in practice, where the covariance matrix contains a rankr component due to dominant interference sources, a scaled identity due to the presence of white noise, and a perturbation component containing the residual interference and/or due to the estimation error. It is shown via a perturbation analysis that the (r+1)st CG MF detector achieves an output SINR nearly identical to that of the optimum MF detector which requires full iterations of the CG algorithm. Finally, the CG algorithm is used to solve a linear prediction problem in the parametric adaptive matched filter (PAMF). It is shown that the PAMF can be casted within the framework of reducedrank STAP detection.

Keywords

Adaptive filters Algorithms Cfar(Constant falsealarm rate) Covariance Detectors Errors Estimates Interference Iterations Linear systems Linearity Matched filters Matrices(Mathematics) Optimization Output Parametric analysis Perturbations Predictions Residuals Sinr(Signaltointerference andnoise ratio) Solutions(General) Sources Stap(Spacetime adaptive processing) White noise Yield


Source Agency

Non Paid ADAS

NTIS Subject Category

72B  Algebra, Analysis, Geometry, & Mathematical Logic

Corporate Author

Stevens Inst. of Tech., Hoboken, NJ.

Document Type

Technical report

Title Note

Final rept. 15 Apr 200930 Nov 2011.

NTIS Issue Number

1303

Contract Number

FA95500910310
