Abstract
The problem of resolving and detecting masked weak moving targets in the presence of fast strong targets is particularly difficult due to side lobes produced by ordinary signal processing techniques and becomes even harder when a partially returned signal is received. Where return signals coincide with the transmission of a pulse, pulse eclipsing can occur which results in detection performance loss. In this approach, the output of a matched filter (MF) was utilised as the input to the post-processing reiterative minimum mean square error (RMMSE) algorithm. The mismatch created in the received signal by Doppler phase shift and pulse eclipsing degrades adaptive pulse compression (APC) filter performance. This study presents a new method to account for both Doppler phase shift and pulse eclipsing using the modified APC repair (MAPCR) algorithm. Simulation results show that the proposed MAPCR algorithm mitigates the eclipsing effect and reduces range side lobes significantly, in addition to providing improved range resolution. The authors compare their results for single point and extended targets placed in the eclipsed region with other algorithms such as the standard MF, pulse compression repair, APC-eclipsing repair and MF-RMMSE.
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