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Cramer-Rao bound and signal-to-noise ratio gain in distributed coherent aperture radar 被引量:7
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作者 Peilin Sun Jun Tang Xiaowei Tang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2014年第2期217-225,共9页
This paper studies the estimation performance of the coherent processing parameter (CPP), including time delay differences and phase synchronization errors among different apertures of the distributed coherent apert... This paper studies the estimation performance of the coherent processing parameter (CPP), including time delay differences and phase synchronization errors among different apertures of the distributed coherent aperture radar (DCAR). Firstly, three architectures of signal processing in the DCAR are introduced. Secondly, the closed-form Cramer-Rao bound (CRB) of the CPP estimation is derived and compared. Then, the closed-form CRB is verified by numerical simulations. Finally, when the next generation radar works in a fully coherent mode, the closed-form signal-to-noise ratio (SNR) gain of the three architectures is presented. 展开更多
关键词 Cramer-Rao bound (CRB) joint parameter estimation distributed coherent aperture radar (DCAR).
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Time and phase synchronization using clutter observations in airborne distributed coherent aperture radars 被引量:4
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作者 Jinming CHEN Tong WANG +1 位作者 Xiaoyu LIU Jianxin WU 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2022年第3期432-449,共18页
Airborne Distributed Coherent Aperture Radar(ADCAR)is one of the most promising next-generation radars to significantly improve target detection and discrimination abilities.However,time and phase synchronization amon... Airborne Distributed Coherent Aperture Radar(ADCAR)is one of the most promising next-generation radars to significantly improve target detection and discrimination abilities.However,time and phase synchronization among unit radars should be done before an ADCAR is intended to cohere on a potential target.To address this problem,a time and phase synchronization technique using clutter observations is proposed in this paper.Clutter returns from different azimuths and elevations on the surface of the earth are employed to calibrate system uncertainties.Two stages are mainly considered:a scene registration among range-Doppler units from different transmit/receive pairs is performed to enhance the clutter coherence in the first stage,followed by a joint estimation of those synchronization errors in the second stage.To relieve the computational burden,a novel Separable and Sequential Estimation(SSE)method is provided to separate the unknowns at the sacrifice of a range-Doppler unit.Moreover,performance analyses including the clutter coherence ability,estimation lower bound,and signal coherence loss are also performed.Finally,simulation results indicate that ADCAR time and phase synchronization is realized by using our methods. 展开更多
关键词 Airborne distributed coherent aperture radar(ADCAR) CLUTTER Maximum Likelihood Estimation(MLE) Signal coherence Time and phase synchronization
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