System error analysis and target localization of distributed pulse radars

Target localization for distributed radars requires precise knowledge of the calibration errors in time, frequency, and space. Previous studies focus on the sensor location error and sensor directional error in space. This paper concentrates on the system errors in time and frequency which directly...

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Published inElectronics letters Vol. 60; no. 15
Main Authors Su, Yihan, Wang, Lei, Wang, Zongyu, Liu, Yimin, Wang, Xiqin
Format Journal Article
LanguageEnglish
Published Wiley 01.08.2024
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Abstract Target localization for distributed radars requires precise knowledge of the calibration errors in time, frequency, and space. Previous studies focus on the sensor location error and sensor directional error in space. This paper concentrates on the system errors in time and frequency which directly affect the targets estimation of range and velocity. Based on linear frequency modulation waveform, the impact of the system errors including sample interval, pulse repetition interval, and centre frequency are analysed. An alternating optimization algorithm is proposed to achieve the target localization, velocity estimation and system errors estimation simultaneously. Simulation shows the effectiveness of the algorithm and the influence on localization due to varying number of targets and radars. The system errors in time and frequency are considered for target localization problem in the scenes of distributed radars. An alternating optimization algorithm is proposed to achieve the target localization, velocity estimation, and system errors estimation simultaneously. Simulation shows the impacts of these system errors and demonstrate the effectiveness of the algorithm.
AbstractList Abstract Target localization for distributed radars requires precise knowledge of the calibration errors in time, frequency, and space. Previous studies focus on the sensor location error and sensor directional error in space. This paper concentrates on the system errors in time and frequency which directly affect the targets estimation of range and velocity. Based on linear frequency modulation waveform, the impact of the system errors including sample interval, pulse repetition interval, and centre frequency are analysed. An alternating optimization algorithm is proposed to achieve the target localization, velocity estimation and system errors estimation simultaneously. Simulation shows the effectiveness of the algorithm and the influence on localization due to varying number of targets and radars.
Target localization for distributed radars requires precise knowledge of the calibration errors in time, frequency, and space. Previous studies focus on the sensor location error and sensor directional error in space. This paper concentrates on the system errors in time and frequency which directly affect the targets estimation of range and velocity. Based on linear frequency modulation waveform, the impact of the system errors including sample interval, pulse repetition interval, and centre frequency are analysed. An alternating optimization algorithm is proposed to achieve the target localization, velocity estimation and system errors estimation simultaneously. Simulation shows the effectiveness of the algorithm and the influence on localization due to varying number of targets and radars. The system errors in time and frequency are considered for target localization problem in the scenes of distributed radars. An alternating optimization algorithm is proposed to achieve the target localization, velocity estimation, and system errors estimation simultaneously. Simulation shows the impacts of these system errors and demonstrate the effectiveness of the algorithm.
Target localization for distributed radars requires precise knowledge of the calibration errors in time, frequency, and space. Previous studies focus on the sensor location error and sensor directional error in space. This paper concentrates on the system errors in time and frequency which directly affect the targets estimation of range and velocity. Based on linear frequency modulation waveform, the impact of the system errors including sample interval, pulse repetition interval, and centre frequency are analysed. An alternating optimization algorithm is proposed to achieve the target localization, velocity estimation and system errors estimation simultaneously. Simulation shows the effectiveness of the algorithm and the influence on localization due to varying number of targets and radars.
Author Su, Yihan
Wang, Lei
Wang, Xiqin
Liu, Yimin
Wang, Zongyu
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Snippet Target localization for distributed radars requires precise knowledge of the calibration errors in time, frequency, and space. Previous studies focus on the...
Abstract Target localization for distributed radars requires precise knowledge of the calibration errors in time, frequency, and space. Previous studies focus...
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SubjectTerms calibration
distributed sensors
parameter estimation
radar signal processing
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Title System error analysis and target localization of distributed pulse radars
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