多分量双曲调频信号解卷积广义参数化时频变换方法  

Deconvolved general parameterized time-frequency transform method for multi-component hyperbolic frequency modulation signals

作　　者：王微 鄢社锋[1,2] 杨斌斌 谭钢 杨基睿 WANG Wei;YAN Shefeng;YANG Binbin;TAN Gang;YANG Jirui(Key Laboratory of Information Technology for Autonomous Underwater Vehicles,Institute of Acoustics,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院声学研究所水下航行器实验室,北京100190 [2]中国科学院大学,北京100049

出　　处：《应用声学》2024年第6期1250-1264,共15页Journal of Applied Acoustics

基　　金：国家自然科学基金项目(62192711,61725106)。

摘　　要：多基地声呐系统中的接收回波是一种信号类型相同、强度不同的多分量信号。针对频域的广义参数化时频变换(GPTFT)方法存在时间分辨力受到窗函数限制不利于分析多分量信号的问题,该文基于Lucy-Richardson解卷积算法提出了一种适用于多分量双曲调频(HFM)信号的高分辨频域GPTFT算法。首先,该算法利用驻定相位法推导HFM信号频谱解析表达式,并基于此设计频域GPTFT的核函数,改善了核函数失配导致时频聚集性下降的问题;其次,推导了卷积表示的频域GPTFT,利用解卷积算法进一步提高了频域GPTFT的时间分辨力。仿真实验和海试数据分析表明,该文算法相较于传统的GPTFT算法具有更高的时间分辨力,并在低信噪比和低信混比情况下具有更高的处理增益。The received echo in a multistatic sonar system is multi-component signals with the same signal type and different intensities.Aiming to solve the problem that the time resolution of frequency-domain general parameterized time-frequency transform(GPTFT)is limited by a window function,which is not conducive to the analysis of multi-component signals,this paper presents a high-resolution frequency-domain GPTFT algorithm for multi-component hyperbolic frequency modulation(HFM)signals based on Lucy-Richardson deconvolution algorithm.First,the analytical expression of a HFM signal spectrum is derived by the stationary phase method,and the matched kernel function for the frequency-domain GPTFT is designed to improve time-frequency concentration which decreases when the kernel function mismatches.Then,the convolution model of frequency-domain GPTFT is obtained,and then the deconvolution algorithm is introduced to enhance time resolution.The simulation and experimental results show that,compared with traditional GPTFT algorithm,the proposed method has better time resolution and the processing gain is higher under low signal-to-noise ratios and low signal-to-reverberation ratios.

关 键 词：多分量信号 广义参数化时频变换 解卷积 

分 类 号：TN972.2[电子电信—信号与信息处理] TB566[电子电信—信息与通信工程]