Citation: | Jing HOU, Mengkai HU, Ziwei WANG. An Improved Knowledge-aided Space-time Adaptive Signal Processing Algorithm for MIMO Radar[J]. Journal of Electronics & Information Technology, 2019, 41(4): 795-800. doi: 10.11999/JEIT180557 |
Focusing on the clutter suppression problem of the airborne Multiple Input Multiple Output (MIMO) radar, an improved method based on Knowledge-Aided Space-Time Adaptive signal Processing (KA-STAP) algorithm is proposed. The clutter subspace is constructed offline according to the prior distribution of the clutter in the space-time plane, to replace that of estimation based on the Prolate Spheroidal Wave Function (PSWF), so that complex operations are avoided. Simulation results show that the proposed approach can not only reduce the computational complexity, but can obtain deeper notch and better side-lobe performance.
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