A comparison study between Wiener and adaptive state estimation (STAP-ASE) algorithms for space time adaptive radar processing

Obaidul Malek; Anastasios Venetsanopoulos; Alagan Anpalagan

doi:10.1117/12.860050

7 September 2010 A comparison study between Wiener and adaptive state estimation (STAP-ASE) algorithms for space time adaptive radar processing

Obaidul Malek, Anastasios Venetsanopoulos, Alagan Anpalagan

Author Affiliations +

Proceedings Volume 7799, Mathematics of Data/Image Coding, Compression, and Encryption with Applications XII; 779907 (2010) https://doi.org/10.1117/12.860050
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

Abstract

Space Time Adaptive Processing (STAP) is a multi-dimensional adaptive signal processing technique, which processes the signal in spatial and Doppler domains for which a target detection hypothesis is to be formed. It is a sample based technique and based on the assumption of adequate number of Independent and Identically Distributed (i.i.d.) training data set in the surrounding environment. The principal challenge of the radar processing lies when it violates these underlying assumptions due to severe dynamic heterogeneous clutter (hot clutter) and jammer effects. This in turn degrades the Signal to Interference-plus-Noise Ratio (SINR), hence signal detection performance. Classical Wiener filtering theory is inadequate to deal with nonlinear and nonstationary interferences, however Wiener filtering approach is optimal for stationary and linear systems. But, these challenges can be overcome by Adaptive Sequential State Estimation (ASSE) filtering technique.

Citation Download Citation

Obaidul Malek, Anastasios Venetsanopoulos, and Alagan Anpalagan "A comparison study between Wiener and adaptive state estimation (STAP-ASE) algorithms for space time adaptive radar processing", Proc. SPIE 7799, Mathematics of Data/Image Coding, Compression, and Encryption with Applications XII, 779907 (7 September 2010); https://doi.org/10.1117/12.860050

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KEYWORDS

Filtering (signal processing)

Signal processing

Electronic filtering

Nonlinear filtering

Radar

Phased arrays

Digital filtering

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