Space-time adaptive radar performance in heterogeneous clutter

Traditional analysis of space-time adaptive radar generally assumes the ideal condition of statistically independent and identically distributed (IID) secondary data. To the contrary, measured data suggests realistic clutter environments appear heterogeneous and so the secondary data is no longer II...

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Veröffentlicht in:IEEE transactions on aerospace and electronic systems 2000-04, Vol.36 (2), p.621-633
1. Verfasser: Melvin, W.L.
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description Traditional analysis of space-time adaptive radar generally assumes the ideal condition of statistically independent and identically distributed (IID) secondary data. To the contrary, measured data suggests realistic clutter environments appear heterogeneous and so the secondary data is no longer IID. Heterogeneity leads to mismatch between actual and estimated covariance matrices, thereby magnifying the loss between the adaptive implementation and optimum condition. Concerns regarding the impact of clutter heterogeneity on space-time adaptive processing (STAP) warrant further study. To this end, we propose space-time models of amplitude and spectral clutter heterogeneity, with operational airborne radar in mind, and then characterize expected STAP performance loss under such heterogeneous scenarios. Simulation results reveal loss in signal-to-interference plus noise ratio (SINR) ranging between a few tenths of a decibel to greater than 16 dB for specific cases.
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subjects Air traffic control
Airborne radar
Clutter
Computer simulation
Covariance matrix
Heterogeneity
Interference
Matrices
Noise levels
Performance analysis
Performance loss
Radar
Radar clutter
Radar detection
Signal to noise ratio
Space technology
Spaceborne radar
Spectra
title Space-time adaptive radar performance in heterogeneous clutter
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