Target signal robust space-time adaptive processing method based on amplitude and phase constraints

Abstract

The invention discloses a radar target signal robust space-time adaptive processing method based on amplitude and phase constraints. The method comprises steps: target signals are set to be a radar space-time data matrix, a first space-time adaptive weight matrix for the radar space-time data matrix is obtained, and an optimality condition equation is further obtained; then, according to the optimality condition equation, a second space-time adaptive weight matrix for the radar space-time data matrix is calculated, and an amplitude and phase constraint-based linear constrained minimum variance beam former complex response vector is built; and after an amplitude and phase constraint-based beam former space-time adaptive weight matrix is obtained through calculation, an amplitude and phase constraint-based beam former unconstrained cost function is obtained through calculation, a robust time covariance matrix and a robust space covariance matrix are calculated respectively, a robust correction space steering vector and a robust correction time steering vector are calculated respectively, a robust correction space-time steering vector is further obtained, and a final target signal through space-time processing is obtained through calculation finally.

Description

technical field [0001] The invention belongs to the technical field of radar space-time adaptive processing, in particular to a method for robust space-time adaptive processing of target signals based on amplitude-phase constraints, that is, iteratively optimized robust space-time adaptive processing (STAP) based on amplitude-phase constraints The method is suitable for obtaining better Signal to Interference plus Noise Ratio (Signal to Interference plus Noise Ratio, SINR) in small sample scenarios. Background technique [0002] Space-time adaptive processing (STAP) method is widely used in airborne radar systems as a powerful tool to solve the clutter suppression of moving platforms. When the clutter-impulse-noise covariance matrix of the moving platform can be estimated more accurately, the space-time adaptive processing (STAP) method has better clutter suppression performance. Since the clutter-pulse-noise covariance matrix of the moving platform is independent of the cl...

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Problems solved by technology

However, in practical applications, the mismatch information generated in the robust space-time region is different, such as the Doppler frequency mismatch and the array antenna mismatch are different, which makes the high sidelobe and main lobe waveform distortion caused by it serious , the signal-to-interference-plus-noise ratio (SINR) of the final signal is low, which in turn affects the robustness of the robust space-time adaptive processing (STAP) method

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