Signal Fusion Method for Networked Radar Motivated by Data Fusion

Networked radar can effectively enhance the probability of target detection via signal fusion. However, the substantial data transmission required for signal fusion imposes a significant communication burden. In this article, a signal fusion target detection method for networked radar motivated by data fusion is proposed. The track information transmitted by node radars is processed through data fusion detection at first. Targets meeting the detection criteria can be detected at once. For track points that do not meet the detection criteria, the fusion center commands each node to transmit part of the echoes. The fusion center then utilizes the transmitted partial echo information for signal fusion to determine the presence of targets. Analysis of the performance of the proposed algorithm and the required transmission data volume is conducted. Finally, simulation results demonstrate the effectiveness of the proposed algorithm.