Radon-fractional ambiguity function-based detection method of low-observable maneuvering target

Chen, Xiaolong; Huang, Yong; Liu, Ningbo; Guan, Jian; He, You

doi:10.1109/taes.2014.130791

Cited by 78 publications

(43 citation statements)

References 30 publications

(55 reference statements)

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“…Subsitiuting (3) into (4) and taking arugument of resulting equation yields (5) Target motion parameters can be estimated based on coherent detection.…”

Section: Signal Model and Grftmentioning

confidence: 99%

Statistical Analysis of Target Detection using TRT-SGRFT

Jagadesh*¹,

Rani²

2019

IJRTE

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This paper proposes novel methodology for target detection and motion parameter estimation for a maneuvering target. Noise like interference may inculcate few difficulties such as Range Migration (RM) and Doppler Frequency Migration (DFM). This paper proposes a novel method to overcome the issue. The method is to use Time Reversing Transform (TRT) and special generalized Radon Fourier transform (SGRFT), i.e., TRT-SGRFT. TRT separates the motion parameters and reduces the clutter. Then the SGRFT operation is employed to estimate part of the motion parameters. This method ensures a good tradeoff between the computational cost and estimation performance. Finally, simulations results are discussed to demonstrate the numerical results.

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“…Subsitiuting (3) into (4) and taking arugument of resulting equation yields (5) Target motion parameters can be estimated based on coherent detection.…”

Section: Signal Model and Grftmentioning

confidence: 99%

Statistical Analysis of Target Detection using TRT-SGRFT

Jagadesh*¹,

Rani²

2019

IJRTE

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show abstract

“…In the above equation, 1 is the amplitude after pulse compression and denotes the system bandwidth. The range between radar and target in radial direction varies with the slow time and can usually be expressed as a polynomial function of , which can be expanded into Taylor series [16], that is,…”

Section: Signal Model and Grftmentioning

confidence: 99%

“…In consideration of maneuvering targets, generalized RFT (GRFT) [10,13] was also defined for targets with arbitrary parameterized motion. Based on the idea of GRFT, a lot of work has been done recently [14][15][16][17]. Actually, the GRFT suffers from heavy computational burden and is impractical without fast implementations because of the multidimensional ergodic search.…”

Section: Introductionmentioning

confidence: 99%

A Fast Algorithm of Generalized Radon-Fourier Transform for Weak Maneuvering Target Detection

Xia

Zhou

Jin

et al. 2016

International Journal of Antennas and Propagation

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The generalized Radon-Fourier transform (GRFT) has been proposed to detect radar weak maneuvering targets by realizing coherent integration via jointly searching in motion parameter space. Two main drawbacks of GRFT are the heavy computational burden and the blind speed side lobes (BSSL) which will cause serious false alarms. The BSSL learning-based particle swarm optimization (BPSO) has been proposed before to reduce the computational burden of GRFT and solve the BSSL problem simultaneously. However, the BPSO suffers from an apparent loss in detection performance compared with GRFT. In this paper, a fast implementation algorithm of GRFT using the BSSL learning-based modified wind-driven optimization (BMWDO) is proposed. In the BMWDO, the BSSL learning procedure is also used to deal with the BSSL phenomenon. Besides, the MWDO adjusts the coefficients in WDO with Levy distribution and uniform distribution, and it outperforms PSO in a noisy environment. Compared with BPSO, the proposed method can achieve better detection performance with a similar computational cost. Several numerical experiments are also provided to demonstrate the effectiveness of the proposed method.

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“…Radar is widely used in military and civilian surveillance because of its ability of working at all-time and under all-weather conditions [1,2,3,4,5,6]. Generally speaking, target detection, parameter estimation and target imaging are the three most important functions of modern radars [7,8,9], where the performance of target detection and parameter estimation will significantly affect the imaging quality for the target [10,11,12]. Therefore, how to improve the performances of target detection and parameter estimation have become important topics in radar research [13,14,15].…”

Section: Introductionmentioning

confidence: 99%

WRFRFT-based coherent detection and parameter estimation of radar moving target with unknown entry/departure time

Sun

Zhang

et al. 2020

Signal Processing

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A moving target may enter a radar coverage area unannounced and leave after an unspecified period, which implies that the target's entry time and departure time are unknown. In the absence of these time information, target detection and parameter estimation (DAPE) will be severely impacted. In this paper, we consider the coherent detection and parameters estimation problem for a radar moving target with unknown entry time and departure time (that is, the time when the target appears-in/leaves the radar detection field is unknown), involving across range cell (ARC) and Doppler spread (DS) effects within the observation period. A new algorithm, known as window Radon Fractional Fourier transform (WRFRFT) is proposed to detect and estimate the target's time parameters (i.e., entry time and departure time) and motion parameters (i.e., range, velocity and acceleration). The observation values of a maneuvering target are first intercepted and extracted by the window function and searching along the motion trajectory. Then these values are fractional Fourier transformed and well accumulated in the WR-FRFT domain, where the DAPE of target could be accomplished thereafter. Experiments with simulated and real radar data sets prove its effectiveness.

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Radon-fractional ambiguity function-based detection method of low-observable maneuvering target

Cited by 78 publications

References 30 publications

Statistical Analysis of Target Detection using TRT-SGRFT

Statistical Analysis of Target Detection using TRT-SGRFT

A Fast Algorithm of Generalized Radon-Fourier Transform for Weak Maneuvering Target Detection

WRFRFT-based coherent detection and parameter estimation of radar moving target with unknown entry/departure time

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