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针对强噪声下的X射线脉冲星信号检测,提出了一种基于时频熵的恒虚警率检测算法.首先对脉冲星信号的时频熵进行了定义;然后从理论上对脉冲星信号时频熵的分布特性进行分析,并用蒙特卡罗方法对理论分析结果进行验证.在此基础上,利用时频熵来设计检测统计量,对脉冲星信号进行基于恒虚警率的检测.仿真结果表明:本文算法可以有效提高检测概率,降低计算复杂度,并且可以在一定精度下给出脉冲星信号的时延值.
In order to detect the X-ray pulsar signal under strong noise, a constant false alarm rate detection algorithm based on time-frequency entropy is proposed.Firstly, the time-frequency entropy of the pulsar signal is defined. Then, Frequency entropy, and Monte-Carlo method to verify the theoretical analysis results.On the basis of this, we use the time-frequency entropy to design the test statistics and detect the pulsar signal based on the constant false alarm rate.The simulation results It shows that the proposed algorithm can effectively improve the detection probability and reduce the computational complexity, and can give the pulse delay value of the pulsar signal with certain accuracy.