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Phase Noise Modeling and its Effects on some Radar Signal Processors-Part I: MTI Processing
Random and unwanted fluctuations, that perturb the phase of an ideal reference sinusoidal signal, may cause significant performance degradation in radar systems exploiting coherent integration techniques. To quantify the resulting performance loss, in this work we develop a fast-time/slow-time data matrix radar signal representation, modeling the undesired phase fluctuations via multivariate circular distribution and describing the phase noise Power Spectral Density (PSD) through a composite power law model. Hence, we accurately predict the performance degradation experienced by Moving Target Indication (MTI) algorithms for clutter cancellation, providing a closed form expression for the improvement factor I. The subsequent analysis shows that phase noise affects I only through its characteristic function (CF). Additionally, the improvement factor shares a robust behavior with respect to the actual phase noise multivariate circular distribution, as long as phase noise PSD correctly represents and match the available measurements.
Aubry Augusto, De Maio Antonio, Farina Alfonso
Paper for Specialistic Magazine
IEEE Transactions on Aerospace and Electronic Systems
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