Abstract
A variability index heterogeneous clutter estimate modified ordered statistics constant false alarm rate (VIHCEMOS-CFAR) detector based on improved VI-CFAR is proposed. First calculate the VI and MR values and then judge the clutter background: If the background is uniform, cell averaging (CA) target detection strategy is adopted; HCE detection strategy is adopted if it is clutter edge background; If it is a complex background composed of multiple targets or strong clutter, the OS detection strategy is adopted. The method of judging the interfering targets and strong clutter in the reference window by using the phase characteristics is used to calculate the accurate k. The Modified-OS algorithm with corrected k is proposed as the detection strategy in the multi-target environment to improve the target detection performance in practical projects. Through detailed experiments, it is proved that VIHCEMOS has adaptive clutter background capability and better detection performance than all other CFAR detection algorithms in multi-target environment.
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