基于WVD改进算法的跳频信号参数估计  

Parameter Estimation of Frequency-Hopping Signals Based on Amelioration Algorithm of WVD

作　　者：陈超[1] 郝雁中[2] 高宪军[1] 孙强[3] 

机构地区：[1]空军航空大学航空电子工程系 [2]空军航空大学航空理论系 [3]94592部队

出　　处：《吉林大学学报（信息科学版）》2010年第2期124-130,共7页Journal of Jilin University（Information Science Edition）

基　　金：国家自然科学基金重点资助项目(60535010)

摘　　要：针对平滑伪维格纳分布(SPWVD:Smoothed Pseudo Wigner-Ville Distribution)在跳频信号参数估计中存在的分辨率下降和运算量过大等问题,提出基于STFT(Short-Time Fourier Transform)与WVD(Wigner-VilleDistribution)的联合算法(STFT-WVD),实现了跳频周期、跳变时刻和跳频频率等参数的盲估计。在参数估计的过程中,STFT-WVD算法有效地抑制了WVD的交叉干扰项,保持了WVD较高的时频分辨率,在运算量上和WVD相近,没有增加运算的复杂程度。仿真实验证明,STFT-WVD比SPWVD具有更好的整体性能,在信噪比优于-1 dB时,能得到更为精准的估计值。An amelioration algorithm to the FH （Frequency-Hopping） signals parameter estimation, United Algorithm basted on STFT （ Short-Time Fourier Transform） and WVD （ Wigner-Ville Distribution）, was proposed to solve the problems of failing time-frequency resolution and oversize operation quantity, which occur in FH sig- nals 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 parameter estimation, STFT-WVD suppresses the cross-term interference in WVD effectively, and keeps the excellent time- frequency resolution as WVD. The operation quantity is almost equivalent between STFT-WVD and WVD, the STFT-WVD does not increase the complexity degree of the operation. 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 -1 dB.

关 键 词：跳频信号 参数估计 维格纳分布 联合算法 

分 类 号：TN911[电子电信—通信与信息系统]