Long-Time Coherent Integration for Frequency Hopping Pulse Signal via Phase Compensation

Chen, Gang; Wang, Jun; Zuo, Luo; Zhao, Dawei

doi:10.1109/access.2020.2972735

Cited by 4 publications

(7 citation statements)

References 31 publications

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“…ADMM algorithm [17] is a computational framework for solving optimisation problems. By dividing the original optimisation problem into two subproblems to solve alternately, the scale of the problem is reduced.…”

Section: Joint Phase Error Estimation and Sparse Scene Restoration Al...mentioning

confidence: 99%

“…It should be noted that the phase errors of the FAR system will inevitably remain in the transceiver system, even after the phase error is corrected. In the literature mentioned above, we only consider coherent signal processing method without system phase errors [16,17]. However, in the practical application, especially when the agile frequency range reaches GHz, we must consider how to accomplish phase error correction and range and velocity information extraction simultaneously [18,19].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Joint phase error estimation and sparse scene restoration algorithms for frequency agile radar

Fei

Zhang

Zhu

et al. 2021

IET Radar Sonar & Navi

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Frequency agile radar (FAR) systems have been demonstrated to have outstanding performance in electronic counter-countermeasures (ECCM). With increased bandwidth in which FAR can switch carrier frequency, the phase errorswill appear at the corresponding frequency point, resulting in the decrease of coherence of the system. To accomplish phase error correction and range and velocity information extraction of the target simultaneously, a joint phase error estimation and sparse scene restoration algorithm based on sparse recovery (JPSA-SR) is proposed here. To further reduce the computational complexity of the algorithm, a joint phase error estimation and sparse scene restoration algorithm based on alternating direction method of multipliers (JPSA-ADMM) is also proposed. Numerical examples show the effectiveness of the proposed algorithms.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Section: Joint Phase Error Estimation and Sparse Scene Restoration Al...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Joint phase error estimation and sparse scene restoration algorithms for frequency agile radar

Fei

Zhang

Zhu

et al. 2021

IET Radar Sonar & Navi

View full text Add to dashboard Cite

show abstract

“…In view of the above-mentioned problems, researchers have made many contributions to improving the detection performance of FA radars. Specifically, for the Doppler migration problem, the method proposed in [33] utilizes twiddle factor reconstruction according to the frequency hopping pattern to estimate target Doppler information and eliminate the Doppler migration. However, this method ignores the phase term produced by the initial target range in the down-convert processing.…”

Section: Introductionmentioning

confidence: 99%

A Coherent Integration Method for Moving Target Detection in Frequency Agile Signal-Based Passive Bistatic Radar

Zuo,

Li,

Tan

et al. 2024

Remote Sensing

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In this paper, the possibility of improving target detection performance in passive bistatic radar by exploiting a frequency agile (FA) signal is investigated, namely frequency agile signal-based passive bistatic radar (FAPBR) coherent integration. Since the carrier frequency of each pulse signal is agile, FAPBR coherent integration suffers from the problems of random range and Doppler phase fluctuations. To tackle these challenges, a novel FA signal coherent integration target detection scheme for PBR is proposed. In particular, the phase quadratic difference principle is presented for eliminating Doppler phase hopping. Then, frequency rearrangement is adopted to compensate for random range phase fluctuation while obtaining the high-range-resolution profiles (HRRPs) of the detecting target. Further, we innovatively present a sliding-range ambiguity decoupling (S-RAD) method to remove the range ambiguity effect in the case of the high pulse repetition frequency (HPRF). Compared with the existing methods, the proposed method can effectively mitigate Doppler phase hopping without requiring prior target velocity information, offering improved coherent integration performance in frequency agile signals with reduced computational complexity. Moreover, it successfully corrects the range ambiguity issue caused by HPRF. Finally, a series of simulation results are presented to demonstrate the effectiveness of the proposed algorithm.

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“…However, different from the conventional DFM, the DFM in MFI, called MF-DFM, imposes great challenges to MTD which need to be accounted for. According to [28], MF-DFM is caused by the frequency-hopping characteristic of the transmitted signal. If the same coherent processing interval (CPI) is employed in each frequency channel, the MF-DFM effect will result in the target appearing in different Doppler frequency bins, although the target moves with a constant velocity during the observations.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, when the radial velocity of the target is too high, or the CPI is too long, MF-DFM will become more evident, resulting in significant Doppler migration, which is also known as Doppler spread. This kind of migration cannot be eliminated by the conventional timefrequency method [28]. To address the MF-DFM, ref.…”

Section: Introductionmentioning

confidence: 99%

A Quasi-Coherent Detection Method Based on Radon–Fourier Transform Using Multi-Frequency-Based Passive Bistatic Radar

Li,

Song,

2023

Remote Sensing

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Passive bistatic radar (PBR)-based moving target detection (MTD) has benefited greatly from multi-frequency (MF) integration, which can effectively improve the detection capability of weak targets. However, with the increase in the coherent processing interval (CPI) and carrier-frequency separation, Doppler spread will appear in the range-Doppler maps (RDMs) over different frequency bands, which severely limits the processing gain of MF integration. In this paper, a novel MTD algorithm is proposed to achieve both long-time integration and quasi-coherent MF integration. More specifically, the proposed method consists of two main steps, where a modified Radon–Fourier transform (RFT), termed as MF-based RFT (MF-RFT), is, firstly, used to eliminate the Doppler spread via designing a sequential of MF-based Doppler filter banks. Following the MF-RFT, a phase-compensation-based method is also developed to further remove the residual phase errors. This method involves formulating an optimization problem based on the minimum-entropy criterion and employing a particle swarm optimization (PSO) algorithm to solve it, after which quasi-coherent MF integration can be achieved with robustness. Both numerical results and field test results based on digital video broadcasting-satellite (DVB-S) signals demonstrate that the proposed algorithm outperforms the existing methods in the scenario of weak MTD.

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Long-Time Coherent Integration for Frequency Hopping Pulse Signal via Phase Compensation

Cited by 4 publications

References 31 publications

Joint phase error estimation and sparse scene restoration algorithms for frequency agile radar

Joint phase error estimation and sparse scene restoration algorithms for frequency agile radar

A Coherent Integration Method for Moving Target Detection in Frequency Agile Signal-Based Passive Bistatic Radar

A Quasi-Coherent Detection Method Based on Radon–Fourier Transform Using Multi-Frequency-Based Passive Bistatic Radar

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