Adaptive Radar Detection and Localization of a Point-Like Target

Adaptive Radar Detection and Localization of a Point-Like Target,10.1109/TSP.2011.2159602,IEEE Transactions on Signal Processing,Danilo Orlando,Giusep

Adaptive Radar Detection and Localization of a Point-Like Target  
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In the present paper, we focus on the design of adaptive decision schemes for point-like targets; the proposed algorithms can take advantage of the possible spillover of target energy between consecutive matched filter samples. To this end, we assume that the received useful signal is known up to a complex factor modeled as a deterministic parameter; moreover, it is embedded in correlated Gaussian noise with unknown covariance matrix. Finally, for estimation purposes we assume that a set of secondary data, free of signal components, but sharing the same covariancematrixofthenoiseinthecellscontainingsignalreturns, up to a possibly different scale factor, is available. Remarkably, the proposed decision schemes can provide accurate estimates of the target position within the cell under test and ensure the desirable constant false alarm rate property with respect to the unknown noise parameters. Index Terms—Adaptive radar detection, constant false alarm rate (CFAR), generalized likelihood ratio test (GLRT), localiza- tion.
Journal: IEEE Transactions on Signal Processing - TSP , vol. 59, no. 9, pp. 4086-4096, 2011
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