An Algorithm Standardization Method for Offline Counter-Interference Testbeds
Bowen An, Dawei Lu, Tian Qiu, Hongqi Fan · 2025
This paper proposes a standardized method for counter-interference algorithms in testbeds, aiming to provide a high-fidelity validation platform for radar counter-interference algorithms. By constructing a testbed that simulates pursuit-evasion scenarios, the system model, observation model, and predicted state output are defined, achieving algorithm standardization. The paper details the modular design of the algorithm, including eight modules such as initialization, prediction, and update, and defines the inputoutput interfaces for each module. Experimental results show that the standardized algorithm can accurately track targets and successfully identify both targets and decoys on the DSP platform, with minimal angle errors. This research provides an efficient and scientific validation platform for the development and optimization of counter-interference algorithms.