一种卫星隐蔽通信信号盲分离算法

重构抵消算法是卫星隐蔽通信信号分离的关键技术，算法的性能主要依赖于参数估计的精度。然而在实际环境中，参数估计误差带来的算法性能损失无法被避免。此外，对信号的重构使得该算法计算复杂度较高。针对这个问题，首先分析了参数估计误差对分离性能的影响，然后提出基于盲均衡算法的协作分离算法，提升信号分离性能的同时降低了算法的计算量。仿真实验表明，新算法相较于重构抵消算法，降低了对参数估计精度的依赖，当参数估计误差大于0.05时，信号的解调误码率降低了一个数量级左右。

A Blind Separation Algorithm for Satellite Covert Communication Signals

Reconstruction cancellation algorithm is the key technology of satellite covert communication signal separation.The performance of the algorithm largely depends on the accuracy of parameter estimation.However,in the actual environment,the offset noise caused by the error of parameter estimation cannot be avoided.In addition,the reconstruction of the signal makes the computational complexity of the algorithm high.For this problem,the influence of parameter estimation error on separation performance is analyzed,and the collaboration separation algorithm based on blind equalization algorithm is proposed,so that the signal separation performance is improved while the computation is reduced.Simulation results show that compared with the reconstruction cancellation algorithm,the new algorithm reduces the dependence on the parameter estimation accuracy,and when the parameter estimation error is greater than 0.05,the demodulation bit error rate of the signal decreases by about one order of magnitude.