Ship detection and tracking using multi-frequency HFSWR

Huang, Xiaojing; Wen, Biyang; Ding, Fan

doi:10.1587/elex.7.410

Cited by 13 publications

(8 citation statements)

References 8 publications

(5 reference statements)

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“…During the field experiment, a set of AIS receivers was used to collect ship information at sea (within approximately 60 km), including location, heading, and velocity. The AIS information can be used as auxiliary information for signal processing [16].…”

Section: Description Of Experimental System and Radar Data Processingmentioning

confidence: 99%

Analysis of Ship RCS Detected by Multifrequency HFGWR

Sun

Wen

Wang

2017

International Journal of Antennas and Propagation

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One of the important applications of high frequency-ground wave radar (HFGWR) is to detect offshore ships. A proper method should be used to obtain the ship radar cross section (RCS), which is a key parameter of the ship. This paper proposes a method based on an automatic information system (AIS). The relationship of the ship RCS versus bearing for different frequencies is analyzed by processing multifrequency HFGWR data. With this new method, bearing information is taken into consideration, which is not the case in traditional empirical formulas. The results provide prior knowledge for ship detection and tracking; therefore, the probability of detection is significantly improved.

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Section: Description Of Experimental System and Radar Data Processingmentioning

confidence: 99%

Analysis of Ship RCS Detected by Multifrequency HFGWR

Sun

Wen

Wang

2017

International Journal of Antennas and Propagation

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“…Therefore, in this paper, we consider to solve the multi-mode problems when tracking targets for a one-dimensional array HFSWR system. Target tracking in HFSWR has been extensively studied, and it mainly consists of various filters to describe the target movement properly, such as the Kalman filter [7], deferred decision filter [8], extended Kalman filter [9], and unscented Kalman filter [10], etc. To enhance the tracking performance in clutter background, many data association algorithms are employed to HFSWR, such as near neighbor data association [11], probabilistic data association (PDA) [12] and joint probabilistic data association (JPDA) [13].…”

Section: Introductionmentioning

confidence: 99%

Modified Multi-Mode Target Tracker for High-Frequency Surface Wave Radar

2018

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Abstract:In high-frequency surface wave radar (HFSWR), part of the radiation signal inevitably propagates upward and illuminates the target through the ionosphere due to the poor controllability of the antenna's vertical pattern. As a result, a target may have several echoes from different propagation modes, which affect target detection and tracking and is usually unmanageable in existing HFSWR systems. Without the information of the elevation angle, it is difficult to distinguish the propagation mode of measurements during the target detection phase. This paper makes the first attempt to propose a multi-mode target tracker for HFSWR to solve this problem during the target tracking phase. The multipath probability data association (MPDA) tracker is capable of exploiting multipath target signatures of discrete propagation modes and has been widely used. Based on this, we construct a modified multi-mode probability data association tracker for HFSWR to suppress false tracks caused by multiple propagation modes. Numerical simulations demonstrate that this novel tracker can effectively and accurately track the target from the measurements under multiple propagation modes in HFSWR. The processing results of the actual data collected in Weihai, China indicate that this tracker is of great significance for practical applications.

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“…Hence, the relative separation between the vessel target and Bragg peaks is a function with the frequency of the radar system. If a target is masked by a Bragg peak at one radar frequency, it will be separated from Bragg peak at another radar frequency, which enables the radar to detect a vessel target continuously regardless of its radial velocity relationship with the Bragg peaks of sea clutter [10, 11]. Therefore, dual‐frequency HFSWR can be used to overcome the effect of sea clutter and avoid the blind zone produced by the first‐order sea clutter.…”

Section: Introductionmentioning

confidence: 99%