The analysis of frequency-hopping signal acquisition based on Cohen-reassignment joint time-frequency distribution

2003 ◽  
Author(s):  
Wang Danzhi ◽  
Li Shujian ◽  
Shao Dingrong
Keyword(s):  
Frequency Distribution ◽  
Frequency Hopping ◽  
Signal Acquisition ◽  
Time Frequency ◽  
Time Frequency Distribution

The Parameter Estimation of Non-Cooperative Frequency Hopping Signals Based on the Algorithm of RSPWVD

2014 ◽  
Vol 556-562 ◽  
pp. 4779-4783 ◽  
Author(s):  
Jin Fei Lv ◽  
Yu Han ◽  
Xiao Peng Liang
Keyword(s):  
Computer Simulation ◽  
Parameter Estimation ◽  
Frequency Distribution ◽  
Basic Principle ◽  
Frequency Hopping ◽  
Good Time ◽  
Time Frequency ◽  
Signal Parameters ◽  
Time Frequency Distribution

How to get good time-frequency distribution of FH signals is crucial to detect and to trace the FH signals. The theory about the rearrangement of time-frequency distribution is summarized in the paper, then the basic principle of detecting the signals using the algorithm of rearrangement of the smooth pseudo Wigner-Ville distribution (RSPWVD) is analyzed in detail, and the algorithm expression are given at the same time. The analysis results show that the RSPWVD algorithm not only has more ideal anti-jamming effects, but also can enhance the time-frequency aggregation of the signal, so the signal parameters are estimated more accurately. In the end, the computer simulation is shown to test the feasibility and effectiveness of the algorithm.

scholarly journals Parameter Estimation of Multi Frequency Hopping Signals Based on Space-Time-Frequency Distribution

Symmetry ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 648 ◽  
Author(s):  
Jian Wan ◽  
Dianfei Zhang ◽  
Wei Xu ◽  
Qiang Guo
Keyword(s):  
Parameter Estimation ◽  
Frequency Distribution ◽  
Signal To Noise Ratio ◽  
Frequency Hopping ◽  
Space Time ◽  
Signal To Noise ◽  
Joint Diagonalization ◽  
Time Frequency ◽  
Noise Ratio ◽  
Time Frequency Distribution

Frequency hopping spread spectrum (FHSS) communication is widely used in military and civil communication, and the parameter estimation of frequency hopping (HF) signals is of great significance. In order to estimate the parameters of multiple frequency hopping signals effectively, a blind parameter estimation algorithm based on space-time frequency analysis (STFA) and matrix joint diagonalization (JDM) is proposed. Firstly, the time domain signal received by the linear array is converted to the space-time frequency domain through the space-time frequency transformation, and the space-time frequency distribution (STFD) of the signal is obtained. Then the time-frequency point is extracted from the space-time frequency distribution map, the extraction of the hop is completed by the method of finding an “island”, and the space-time frequency matrix of each hop is constructed, and then the preliminary estimation of each jump frequency, jump time and jump period is completed. Finally, the space-time-frequency matrix of the same hop received by different array elements is jointly diagonalized by the matrix joint diagonalization algorithm, and the diagonalization matrix is obtained. On the basis of the diagonalization matrix, the root-MUSIC algorithm is used to complete the direction of arrival (DOA) estimation of the frequency hopping signal and the separation of the frequency hopping radio. The simulation results show that the proposed algorithm is effective in parameter estimation of multi-hopping signals. It can estimate the parameters of −4 dB signal-to-noise ratio (SNR). The accuracy rate of parameter (hop period, DOA, hop start time, hop end time, frequency hopping frequency set) estimation reaches 73.26%, and the sparse linear regression (SLR) algorithm reaches 70.15%. When the signal-to-noise ratio reaches 5 dB, the accuracy of estimation can reach 94.74%, and the SLR reach 85.64%. It has a good effect on parameter estimation of multi-hopping signals.

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