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针对现有融合识别算法难以兼顾信息完备性和节点通信数据量的问题,提出一种基于信号稀疏表示的雷达辐射源信号级融合识别算法.该方法将接收信号投影到稀疏域并进行压缩,从而在稀疏域完成融合,最后利用融合后的稀疏系数进行识别.该方法既降低了通信数据量,又较好地保证了信息的完整性.仿真实验表明,相对于单一传感器和决策级融合,所提出的方法可有效提高信号识别性能.
Aiming at the problem that the existing fusion recognition algorithm can not balance the completeness of information and the amount of communication data of nodes, a fusion algorithm based on signal sparse representation is proposed. This method radiates the received signal to the sparse domain and compresses it The fusion is completed in the sparse domain and finally the fused sparse coefficient is used to identify.The method not only reduces the amount of communication data but also ensures the integrity of the information better.The simulation results show that the fusion of single sensor and decision- The proposed method can effectively improve the signal identification performance.