基于MMSE准则的鲁棒ICA-R算法初始化轻量化设计OA

To enhance the blind signal separation performance of independent component analysis with reference(ICA-R)in communication spectrum-sharing applications and to reduce its hardware implementation complexity,a simplified non-random separation vector initialization method based on the minimum mean square error(MMSE)criterion was pro-posed,aiming at a lightweight design of a robust ICA-R algorithm.In this method,the observation signal matrix was di-rectly multiplied by the reference signal to compute the initial value of the separation vector.Theoretical analysis and hard-ware simulation results show that,compared with existing methods,the proposed approach offers comprehensive advan-tages including high separation accuracy,strong robustness,fast convergence,and low hardware overhead.Experimental results on the separation and extraction of spectrally overlapped communication signals using the ICA-R algorithm demon-strate that the proposed method can still achieve efficient and robust target signal separation and extraction under strong co-channel interference,while effectively reducing the algorithm runtime.Thus,it is suitable for resource-constrained commu-nication devices with stringent requirements for real-time performance,robustness,and computational efficiency.