M. Grimes

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The effect of the PRF on the performances of the reduced rank STAP is discussed. The numerical evaluation is based on three different models of changing the PRF, namely quadratic, pseudorandom and chaotic with two methods of reduction of the rank: Principle Components (PC) and Signal to Interference Noise Ratio (SINR metric). Rank reduction reduces the(More)
In this paper, we first present the principles of STAP and discuss the properties of optimum detector, as well as problems associated with estimating the adaptive weights such as ambiguities and the high computational cost. The performances are evaluated highlighting the influence of radar parameters on the detection of slow targets. To resolve problem of(More)
In this paper, we investigate the use of two iterative algorithms for the suppression of interferences and thus, the detection of slow targets in monostatic airborne radar. The conventional space-time adaptive processing (STAP) such as the sample matrix inversion (SMI) or the Principal Components (PC) methods are computationally costly and require the(More)
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