In a global positioning system(GPS)passive radar,a high resolution requires a high sampling frequency,which in-creases the computational load.Balancing the computational load and the range resolution is challenging.This paper presents a method to trade off the range resolution and the computation-al load by experimentally determining the optimal sampling fre-quency through an analysis of multiple sets of GPS satellite data at different sampling frequencies.The test data are used to con-struct a range resolution-sampling frequency trade-off model us-ing least-squares estimation.The theoretical analysis shows that the experimental data are the best fit using smoothing and nth-order derivative splines.Using field GPS C/A code signal-based GPS radar,the trade-off between the optimal sampling fre-quency is determined to be in the 20 461.25-24 553.5 kHz range,which supports a resolution of 43-48 m.Compared with the conventional method,the CPU time is reduced by approxi-mately 50％.

ZHANG Zhuxian;ZHENG Yu;ZHENG Linhua;ZHU Peidong

College of Electronic Science,National University of Defense Technology,Changsha 410073,China;College of Electronic Communication and Electrical Engineering,Changsha University,Changsha 410022,China

系统工程与电子技术（英文版）

[1]ZHANG Zhuxian;ZHENG Yu;ZHENG Linhua;ZHU Peidong-.Range resolution and sampling frequency trade-off for GPS passive radar)[J].系统工程与电子技术（英文版）,2022(01):28-37

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