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Abstract
The traditional interference signal control algorithm has the problem of poor control performance caused by the direct-expansion measurement and control signal sampling, this paper proposes a direct-expansion measurement and control interference signal control algorithm based on compression perception. The algorithm is based on the characteristics of direct-expansion measurement and control signal, constructs the corresponding sparse base, analyzes the normalized residuals and change rule of the direct-expansion measurement and control signal and interference signal under the sparse base, reconstructs the direct-expansion measurement and control signal through the sparse coefficient, and the adaptive control of the algorithm is realized by combining the normalized residual change rate. The experimental results show that the proposed algorithm can effectively control the interference signal, the detection probability is higher, the error effect is excellent.