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中文摘要：
为提高在低信噪比条件下跳频信号的参数盲估计精度,提出一种基于Gabor＆SPWVD组合时频分析的跳频信号跳周期盲估计算法。对接收信号分别进行Gabor变换和SPWVD变换,对变换结果进行Hadmard积运算得到清晰稳健的跳频信号时频图;在此基础上,设计跳频信号跳周期盲估计算法,该算法信噪比适应能力强,参数估计精度高。蒙特卡罗仿真结果验证了该算法的有效性。
英文摘要：
To increase the parameters estimation precision of FH signals under the low signal-to-noise ratio circumstances,an algorithm for the hop duration blind estimation of frequency-hopping signal was proposed based on GaborSPWVD combination time-frequency.Gabor transform and SPWVD transform were performed to process FH signals.Hadmard multiplication was done to the results to get clear and sound time-frequency diagram of FH signal.The blind estimation algorithm of hop duration for frequency-hopping signals was designed based on above processes.The signal-to-noise ratio of the proposed algorithm is adaptable,the precision of estimation is high,and the effectiveness of the algorithm is verified using the Monte Carlo simulation.
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