Ground moving target motion parameter estimation using Radon modified Lv's distribution

Yu, Wenchao; Su, Weimin; Gu, Hong

doi:10.1016/j.dsp.2017.07.005

Cited by 17 publications

(14 citation statements)

References 44 publications

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“…This approximation for a moving target with a constant velocity or small acceleration is true according to the previous work [4, 13, 16–19]. However, if a moving target has a large acceleration, a high‐order range model (more than the second order) may be appropriate [10, 30]. In this case, the performance of the proposed method will degrade due to the effect of the target's high‐order motion.…”

Section: Proposed Methods Descriptionmentioning

confidence: 97%

Ground moving target focusing and motion parameter estimation method via MSOKT for synthetic aperture radar

Wan

Zhou

Zhang

et al. 2019

IET signal process.

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In this study, a ground moving target focusing and motion parameter estimation method based on modified secondorder keystone transform (MSOKT) have been proposed for a synthetic aperture radar. Firstly, a cross-track velocity matching compensation function is derived to remove range walk migration and estimate the cross-track velocity of the moving target. Secondly, an MSOKT is proposed to remove the range curvature and Doppler frequency migration simultaneously. Lastly, a well-focused result of the moving target is obtained, and the motion parameters of the moving target are estimated. Compared with the traditional KT-based method, the proposed method works well in situations where Doppler centre blur and Doppler spectrum ambiguity are present. The computational complexity of the proposed method is considerably lower than that of the traditional optimum method, such as Radon-Lv's distribution. Simulation and real data processing results validate the effectiveness of the proposed method.

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Section: Proposed Methods Descriptionmentioning

confidence: 97%

Ground moving target focusing and motion parameter estimation method via MSOKT for synthetic aperture radar

Wan

Zhou

Zhang

et al. 2019

IET signal process.

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show abstract

“…Figure 3b gives the target's trajectory after conducting the PS operation, it is observed that only the symmetric range curvature caused by acceleration exists. According to (2) and (10), it can be calculated that the migrated range cells before and after conducting PS operation are, respectively, 183th → 200th → 230th and 413th → 400th → 413th. Figure 3c shows the result after performing SOKT, it is evident that the range curvature has been corrected effectively.…”

Section: Proposed Methods With Mono-target Detectionmentioning

confidence: 99%

“…In the application of radar detection for the moving target, an effective approach for the improvement of the output signal-to-noise ratio (SNR) is prolonging the coherent integration time. However, the complex motion of the target will induce severe range migration and Doppler frequency migration after conducting range compression, which greatly degrade the detection ability of radar [1,2].…”

Section: Introductionmentioning

confidence: 99%

A fast non-searching algorithm for radar maneuvering target detection

et al. 2019

SN Appl. Sci.

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The detection of maneuvering targets is a challenging work for radar system. During a long integration time, the target's complex motion will cause severe range migration and Doppler frequency migration, which greatly degrade the energy integration performance. In order to obtain a well-focused result of the maneuvering target, this paper proposes a novel and fast algorithm without any parameter searching process. In our algorithm, a parameter separation (PS) operation is conducted to isolate the target's acceleration from other motion parameters. Then, the second-order keystone transform (SOKT) is utilized to correct range curvature and relocate the target's energy into one range cell. Lastly, the target's energy is integrated along the slow time axis via performing the non-uniform sparse Fourier transform (NUSFT), which is a fast implementation of Fourier transform (FT) for the input signal with unequally sampled points and frequency domain sparse representation. According to the simulation results, the proposed PS-SOKT-NUSFT method can realize multiple targets detection due to its good ability to suppress cross terms. In addition, the runtime of PS-SOKT-NUSFT (106.23 s) is much shorter than the PS-acceleration search (AS) method (2168.67 s).

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“…However, if the target spectrum bandwidth is larger than PRF/2, then the operation of Doppler centre shifting by PRF/2 will be invalid, and the effect of Doppler spectrum split will still persist [25]. The parameter searching-based methods [16,33] were introduced without the effect of Doppler spectrum ambiguity. Although these algorithms are effective, they suffer from large computational complexity induced by a brute-force parameter searching procedure.…”

Section: Introductionmentioning

confidence: 99%

Efficient Algorithm for SAR Refocusing of Ground Fast-Maneuvering Targets

et al. 2019

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The synthetic aperture radar (SAR) image of moving targets will defocus due to the unknown motion parameters. For fast-maneuvering targets, the range cell migration (RCM), Doppler frequency migration and Doppler ambiguity are complex problems. As a result, focusing of fast-maneuvering targets is difficult. In this work, an efficient SAR refocusing algorithm is proposed for fast-maneuvering targets. The proposed algorithm mainly contains three steps. Firstly, the RCM is corrected using sequence reversing, matrix complex multiplication and an improved second-order RCM correction function. Secondly, a 1D scaled Fourier transform is introduced to estimate the remaining chirp rate. Thirdly, a matched filter based on the estimated chirp rate is proposed to focus the maneuvering target in the range–azimuth time domain. The proposed method is computationally efficient because it can be implemented by the fast Fourier transform (FFT), inverse FFT and non-uniform FFT. A new deramp function is proposed to further address the serious problem of Doppler ambiguity. A spurious peak recognition procedure is proposed on the basis of the cross-term analysis. Simulated and real data processing results demonstrate the validity of the proposed target focusing algorithm and spurious peak recognition procedure.

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Ground moving target motion parameter estimation using Radon modified Lv's distribution

Cited by 17 publications

References 44 publications

Ground moving target focusing and motion parameter estimation method via MSOKT for synthetic aperture radar

Ground moving target focusing and motion parameter estimation method via MSOKT for synthetic aperture radar

A fast non-searching algorithm for radar maneuvering target detection

Efficient Algorithm for SAR Refocusing of Ground Fast-Maneuvering Targets

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