Abstract
The paper considers the joint detection and size estimation of swarm targets. The echo energy of swarm targets is doubly-spread in the range-Doppler (RD) image due to spatially dispersed and relative motion between individuals. Therefore, the traditional constant false alarm rate (CFAR) detection strategies of point and range-spread rigid targets may suffer performance degradation because of failing to accumulate all energy of target in the RD image. In this paper, we first developed a swarm targets echo model. Then a novel detector based on the strong scattering points (SPs) estimation is proposed. The detector considers the swarm targets as a whole and estimates and accumulates all the target-like strong SPs to enhance the detection performance. Moreover, the radial size of swarm targets is calculated according to the range of SPs. Finally, the constant false alarm property is derived, and the strategy of detector parameters setting is discussed in detail. A thorough performance assessment is conducted by Monte Carlo simulation. The results show that the proposed method is superior to the modified cell averaging CFAR (MCA-CFAR) and deterministic scatterer model generalized likelihood ratio test (DSM-GLRT) detectors.
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