Adaptive radar detection and estimation
Adaptive processing in a radar environment is necessary due to its inherently nonstable nature. A detailed mathematical treatment of the important issues in adaptive radar detection and estimation is offered. Since much of the material presented has not appeared in book form, you'll find this work fills an important gap in the known literature. Following an overview of the subject, contributors develop model-based techniques for the detection of radar targets in the presence of clutter; discuss minimum variance beamforming techniques; consider maximum likelihood bearing estimation in beamspace for an adaptive phased array radar; present an algorithm for angle-of-arrival estimation; and describe the method of multiple windows for spectrum estimation.
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adaptive beamformer adaptive degrees adaptive weights algorithm analysis antenna array gain assumed beamformer output beamspace bearing estimation broadband clutter coefficients columns complex component compute constraints correlation corresponding data vectors defined degrees of freedom denote desired signal difference beam direction sine distribution Doppler eigenvalues eigenvector elements expression filter follows frequency function Gaussian given Haykin IEEE IEEE Trans independent interference cancellation inverse LCMV likelihood function linear maximum likelihood method minimize minimum variance multipath MVDR narrowband Note nulls number of adaptive obtained optimization orthogonal output power parameters partially adaptive beamformer performance pointing angle power spectral density problem radar random variable ratio response right beams sample covariance matrix scalar Section sensor sidelobe Signal Process simulation snapshots space spanned spatial spectrum estimation stationary process subspace sum and difference Symmetric 3D-BDML term Theorem uncorrelated unknown weight vector white noise Wiener Wiener filter zero
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Detection, Estimation, and Modulation Theory, Optimum Array Processing
Harry L. Van Trees
Limited preview - 2004