Abstract
This study investigates the detection problem of multiple moving targets using a multisite radar system with widely separated stations. Spatial mapping is presented to integrate the observation data of a moving target from different angles into a spatial resolution cell (SRC). However, data association errors occur in some SRCs in this way, which causes extra false alarm, called the “ghost target”. Therefore, an interference discriminator-based detector is developed. In this way, the background interference is discriminated between “ghost target” and pure noise, and then the final decision is made based on the generalized likelihood ratio test. Statistical analyses are provided to discuss the achievable performance. Simulation results show that the proposed algorithm can accurately detect multiple moving targets while suppressing the “ghost target”.
Funder
National Natural Science Foundation of China
Subject
General Earth and Planetary Sciences
Cited by
2 articles.
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1. Machine Learning for Ship Detection with Radar;2023 IEEE International Workshop on Technologies for Defense and Security (TechDefense);2023-11-20
2. Cuckoo search algorithm-based optimal deployment method of heterogeneous multistatic radar for barrier coverage;Journal of Systems Engineering and Electronics;2023-10