Airborne phased array radar: clutter and jamming suppression and moving target detection and feature extraction

We study the clutter and jamming suppression and moving target detection and feature extraction for airborne phased array radar. For the low range resolution (LRR) case, we use a vector autoregressive (VAR) filtering technique for clutter suppression and compare it to the displaced phase center antenna (DPCA) processing technique in the presence of various system errors. For the high range resolution (HRR) case, we first show how to use the VAR filter to suppress the ground clutter. We divide the HRR range profiles into LRR segments to avoid the range migration problems that occur in the HRR radar data. Since each LRR segment contains a sequence of HRR range bins, no loss of resolution occurs due to the division. We then propose new algorithms for moving target detection and super resolution feature extraction. Numerical results are provided to demonstrate the effectiveness of the proposed algorithms