Frequency-Hopping Signal Parameters Estimation Based on Orthogonal Matching Pursuit and Sparse Linear Regression

Wang, Yu; Zhang, Chaozhu; Jing, Fulong

doi:10.1109/access.2018.2871723

Cited by 16 publications

(6 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Comparing (24) with (22), the signal level after the coherent accumulation is significantly improved, and the noise still maintains the original level. It is indicated that SNR of the original signal is effectively improved.…”

Section: ) Multi-frame Joint Phase-coherent Accumulationmentioning

confidence: 99%

“…However, the impact of low SNR is also a major problem. In [24], it is shown that this method shows good performance when the SNR is greater than or equal to 10dB. And when the SNR is lower than 5dB, the estimation error of the algorithm will increase significantly.…”

Section: Introductionmentioning

confidence: 98%

“…However, the algorithm still performs poorly under low SNR conditions. In addition, sparse linear regression (SLR) is applied in [24], [25] to estimate the FH signals, high-precision estimation with low computational complexity is achieved. However, the impact of low SNR is also a major problem.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Robust Multi-Frame Joint Frequency Hopping Radar Waveform Parameters Estimation Under Low Signal-Noise-Ratio

et al. 2019

View full text Add to dashboard Cite

Robust estimation of frequency hopping radar signal parameters is the key to achieving stable jam in frequency hopping communication. In order to deal with the poor noise resistance performance of conventional time-frequency analysis based parameter estimation method under low signal-noise-ratio conditions. A robust method is proposed in this paper for frequency hopping radar waveform parameters estimation. The method is performed in time domain. Firstly, the pulse repetition interval of the received radar signal is extracted by matching filtering, which is used as the window length to divide the signal into multiple frames. The coherent integration process is performed on the multi-frame signal to increase the signal-noise-ratio, which effectively ensures the robustness of the algorithm under low signal-noiseratio conditions. Secondly, the short-time Fourier transform is used to realize the rough estimation of the frequency hopping number, which reduces the range of subsequent hopping counts and reduces the amount of algorithm calculation. Finally, an accurate estimation of the waveform parameters including frequency hopping sequence, hop duration, frequency hopping interval and carrier frequency is realized. Simulation experiments verify the effectiveness of the algorithm and the robustness under various signal-noise-ratio conditions. INDEX TERMS Hopping frequency waveform, parameter estimation, multiple-frame, short time Fourier transform (STFT).

show abstract

Section: ) Multi-frame Joint Phase-coherent Accumulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

See 1 more Smart Citation

Robust Multi-Frame Joint Frequency Hopping Radar Waveform Parameters Estimation Under Low Signal-Noise-Ratio

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The PDF of R c can be approximated as χ 2 -distributed with 2 degree of freedom (DOF). Under the H 0 hypothesis, F 1 (x; H 0 ) can be expressed as a central χ 2 -distributed random variable with σ 2 1 , which can be expressed as…”

Section: ) Global Delay Searchmentioning

confidence: 99%

“…The received signal is characterized by two main defining frequencies: modulation frequency and Doppler frequency. Various methods for frequency hopping (FH) pattern frequency synchronization have been reported [2]- [6]. In this study, we assume that the FH pattern frequency is synchronized, and therefore, the frequency search can be converted into a search problem related to the relative velocity between the transmitter and the receiver.…”

Section: Introductionmentioning

confidence: 99%

Keystone Transform-Based Parameter Search for Wide-Band Hybrid DS/FH Systems

2019

View full text Add to dashboard Cite

High dynamics for wide-band hybrid direct sequence/frequency hopping (DS/FH) systems may cause Doppler frequency dispersion (DFD). Existing parameter-search schemes use a serial mode to avoid high signal-to-noise ratio (SNR) loss caused by DFD, however, these schemes have large computation loads. To mitigate this problem, we propose a keystone transform-based method to eliminate DFD. The proposed scheme reduces the computational cost by parallel search without performance degradation. First, referring to the differential-coherent integration algorithm, the proposed scheme cancels out the pseudonoise code in the received signal. Then, the keystone transform is utilized on each hop to eliminate the DFD and focus the signal energy on a certain frequency. Finally, using a fast Fourier transform, the dynamics parameter can be searched in parallel. The detection performance and computational cost of the proposed scheme are analyzed and compared with those of existing search schemes. The result confirms that, for the same detection performance, the proposed scheme significantly reduces computational cost. INDEX TERMS Doppler frequency dispersion, keystone transform, search scheme, wide-band hybrid DS/FH.

show abstract

Parameter Estimation of Frequency Hopping Signals Based on Maximum Likelihood and Orthogonal Matching Pursuit

Li¹,

Wang²

2023

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

Frequency-Hopping Signal Parameters Estimation Based on Orthogonal Matching Pursuit and Sparse Linear Regression

Cited by 16 publications

References 22 publications

Robust Multi-Frame Joint Frequency Hopping Radar Waveform Parameters Estimation Under Low Signal-Noise-Ratio

Robust Multi-Frame Joint Frequency Hopping Radar Waveform Parameters Estimation Under Low Signal-Noise-Ratio

Keystone Transform-Based Parameter Search for Wide-Band Hybrid DS/FH Systems

Parameter Estimation of Frequency Hopping Signals Based on Maximum Likelihood and Orthogonal Matching Pursuit

Contact Info

Product

Resources

About