A Cooperative Target Detection Algorithm for Airborne Networked Radar
Joint target detection with networked radars can effectively improve the detection ability to stealth weak targets in complex electromagnetic jamming environment.However,it is especially hard to be netted for airborne radars due to the problems of large spatial registration error.In this paper,a cooperative target detection algorithm based on trajectory spatial registration is proposed for airborne networked radars systems.The maximum likelihood estimation generalized likelihood ratio detector is adopted for joint constant false-alarm rate(CFAR)detection of targets with the utilization of a small amount of range-Doppler domain data and target trajectory domain data under low detection threshold from radars nearby.Through the iterative calculation of spatial registration and joint CFAR detection,both of registration accuracy and joint target detection performance is improved.The results of numerical simulation experiments show that the spatial registration accuracy can be limited in a range-Doppler resolution cell.The detection probability is increased from 28.5％for a single radar to 83.67％for the four networked radars after iterative processing under the typical scenario with a signal-to-noise ratio of 9 dB after coherent integration and a false alarm probability of 10-4 when four radars are networked.
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