Target Detection and Anti-Clutter Using Energy Priority Idea Based on 77-79 GHz Radar

In this paper, to accurately establish sea clutter model, we propose a 3-partitioned random multiplicative mechanism using multifractal theory to tackle the high-frequency radar sea clutter, which could extract feature factors from sea clutter data and verifies the multifractal features. Furthermore, we present a clutter energy priority SVD-OP (CEP-SVD-OP) based detection algorithm. In which, echo signals of the selected distance units are combined into a signal space, and processed by orthogonal projection idea. Then, the clutter suppression is performed again for all the distance units on the individual pulses after orthogonal projection. The singular values are utilized to determine the signal subspace and clutter subspace. After eliminating the clutter subspace, the signal is reconstructed using the Hankel matrix, and the detection-flow can be achieved. Simulations has demonstrated that CEP-SVD-OP algorithm obtains some superior performance in sea clutter suppression and target detection.