Manoeuvring target detection in over-the-horizon radar using adaptive clutter rejection and adaptive chirplet transform

Wang, G.; Xia, X.-G.; Root, Benjamin; Chen, V.C.; Zhang, Y.; Amin, Moeness G.

doi:10.1049/ip-rsn:20030700

Cited by 58 publications

(30 citation statements)

References 9 publications

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“…Because of the low SNR, OTHR systems often utilize a long coherent integration time (CIT) to achieve a high processing gain. The use of chirplet transform allows a longer CIT for weak target detection when the target returns can be modeled as linear frequency modulated signals [13]. In this paper, we use the signal stationarization technique to achieve further enhancement of non-stationary signals that demonstrate high-order time-varying characteristics [10,11].…”

Section: Instantaneous Frequency Estimationmentioning

confidence: 99%

Instantaneous altitude estimation of maneuvering target in over-the-horizon radar exploiting multipath Doppler signatures

Zhang

Amin

et al. 2013

EURASIP J. Adv. Signal Process.

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Over-the-horizon radar systems are capable of localizing targets in range and azimuth but are unable to achieve reliable altitude estimation. Past work has shown that the time-varying Doppler signatures of micro-multipath signals provide rich information for reliable estimation of altitude changes. In this paper, we develop a new technique for the estimation of instantaneous altitude of maneuvering targets by exploiting the estimated multicomponent Doppler signatures. A key contribution of this paper is to apply effective non-stationary signal analysis techniques for estimating the time-varying Doppler signature of each individual multipath. This enables reliable target altitude estimation in an extended Kalman filter setup. The maximum a-posteriori criterion is used for the estimation of initial target states.

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Section: Instantaneous Frequency Estimationmentioning

confidence: 99%

Instantaneous altitude estimation of maneuvering target in over-the-horizon radar exploiting multipath Doppler signatures

Zhang

Amin

et al. 2013

EURASIP J. Adv. Signal Process.

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“…To extract the target signal from the combined signal, it is necessary to remove the surface reflection before applying the adaptive chirplet transform (ACT). We used an improved signal subspace method to eliminate the surface reflection (Wang et al, 2003), which does not need any model and prior knowledge. Suppose s c (t) is the received GPR signal in the current scan and s n1 (t), …, s nN (t) are the GPR detection signals from s c (t)n neighboring scans.…”

Section: Surface Refl Ection Rejection By the Adaptive Subspace Algormentioning

confidence: 99%

“…In this paper, we use the adaptive chirplet transform (Wang et al, 2003) to pick up the UXO signal based on the Radon-Wigner distribution. The test results show the clutter can be rejected effectively and the target responses can be enhanced.…”

Section: Introductionmentioning

confidence: 99%

The adaptive chirplet transform and its application in GPR target detection

et al. 2009

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GPR has become an important geophysical method in UXO and landmine detection, for it can detect both metal and non-metallic targets. However, it is difficult to remove the strong clutters from surface-layer refl ection and soil due to the low signal to noise ratio of GPR data. In this paper, we use the adaptive chirplet transform to reject these clutters based on their character and then pick up the signal from the UXO by the transform based on the Radon-Wigner distribution. The results from the processing show that the clutter can be rejected effectively and the target response can be measured with high SNR.

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“…The processing of skywave OTHR signals is among the most challenging tasks encountered in applications involving frequency modulated (FM) signals [2][3][4]. The received signals in the presence of local multipath due to surface reflection near the targets exhibit multi-component Doppler signatures corresponding to different propagation paths toward radar unit [5][6][7][8][9]. These signal components are close to each other in the time-frequency (TF) plane.…”

Section: Introductionmentioning

confidence: 99%

Accurate Parameter Estimation of Over-the-Horizon Radar Signals Using Ransac and Music Algorithms

Djurović¹,

Zhang²

2018

PIER M

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Abstract-Processing over-the-horizon radar (OTHR) signals is challenging due to appearance of several very close components in the time-frequency plane, strong noise and clutter, multipath propagation, and aliasing. We propose a two-stage procedure for estimating multipath signal components from the received mixture. In the first stage, the instantaneous frequency is estimated from the time-frequency representation of the received signal. The random samples consensus algorithm is applied to the instantaneous frequency estimate to improve the robustness of the procedure against various effects in the underlying signals. In the second stage, the MUSIC algorithm is applied to the dechirped and downsampled signal. The effectiveness of the proposed approach is verified using real-life signals.

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Manoeuvring target detection in over-the-horizon radar using adaptive clutter rejection and adaptive chirplet transform

Cited by 58 publications

References 9 publications

Instantaneous altitude estimation of maneuvering target in over-the-horizon radar exploiting multipath Doppler signatures

Instantaneous altitude estimation of maneuvering target in over-the-horizon radar exploiting multipath Doppler signatures

The adaptive chirplet transform and its application in GPR target detection

Accurate Parameter Estimation of Over-the-Horizon Radar Signals Using Ransac and Music Algorithms

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