Affiliations: College of Electronic Engineering, Naval University of Engineering, Wuhan, Hubei, China
Correspondence:
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Corresponding author: Huatao Tang, College of Electronic Engineering, Naval University of Engineering, Wuhan, Hubei 430033, China. E-mail: [email protected].
Abstract: Due to limitations in computing power, the passive radar based on GNSS signal may not be able to use all the GNSS signals, requiring to make signal selection. Based on CRLB, a new radiation sources adaptive selection method for passive radar is proposed. With the goal of minimizing the CRLB of GNSS signals and the number of GNSS signals as constraints, an adaptive selection model is established. Simulation experiments were conducted using the selection model and particle filter algorithm. Experimental results show that the calculation accuracy of this algorithm is slightly lower than the tracking results obtained using all six satellites, but the calculation time is greatly reduced, reducing the requirement for radar computing power.
