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Parameter Estimation of Frequency-Hopping Signals Based on an United Algorithm

机译:基于联合算法的跳频信号参数估计

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The paper proposes an amelioration algorithm to the frequency-Hopping (FH) signals parameter estimationUnited Algorithm (STFT-WVD) basted on STFT(Short-Time Fourier Transform)and WVD (Wigner-Ville distribution) to solving the problems of failing time-frequency resolution and oversize operation quantity,which occur in FH signals parameter estimation with Smoothed Pseudo WVD (SPWVD). STFT-WVD could achieve FH signals parameters blind estimation successfully,which include Hop-duration,Hop-timing and Hop-frequency. In the course of parameter estimation,STFT-WVD suppresses the cross-term interference in WVD effectively,and keeps the excellent time-frequency resolution as WVD. Finally, the simulation result proves that the holistic performance of STFT-WVD is better than SPWVD,and STFT-WVD can get more precise parameter estimated values while SNR exceeds -ldB.
机译:针对短时傅立叶变换和短时傅立叶变换,提出了一种改善跳频(FH)信号参数估计的联合算法(STFT-WVD),解决了时频失败的问题。平滑伪WVD(SPWVD)在FH信号参数估计中出现的分辨率和超大操作量。 STFT-WVD可以成功实现跳频持续时间,跳频定时和跳频频率的跳频信号参数盲估计。在参数估计的过程中,STFT-WVD有效地抑制了WVD中的交叉项干扰,并保持了与WVD一样出色的时频分辨率。最后,仿真结果表明,STFT-WVD的整体性能优于SPWVD,并且在SNR超过-ldB的情况下,STFT-WVD可以获得更精确的参数估计值。

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