Improved axis rotation MTD algorithm and its analysis

Rao, Xuan; Zhong, Tiantian; Tao, Haihong; Xie, Jian; Su, Jia

doi:10.1007/s11045-018-0588-y

Cited by 25 publications

(8 citation statements)

References 23 publications

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“…According to Equation (20), we have: Therefore, in accordance with Equation ( 21), to obtain the unknown coefficient 𝜑, the slope tan(β) should be obtained first. The IAR method employed by the authors of [18] can be adopted to obtain the slope of the target trajectory. However, the IAR method suffers from a huge computational cost because it involves a parameter-search operation.…”

Section: Analysis Related To a Mismatch Of The Lrm Compensation Functionmentioning

confidence: 99%

“…Recently, the Hough transform [16], Radon transform [17] and axis rotation transform [18] models have been introduced to address LRCM by utilizing the moving target trajectory in the range and azimuth domains. However, these transforms have a huge computational cost, given that they need to run the searching operation for the target trajectory.…”

Section: Introductionmentioning

confidence: 99%

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Fast Approach for SAR Imaging of Ground-Based Moving Targets Based on Range Azimuth Joint Processing

et al. 2022

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The synthetic aperture radar (SAR) images of a moving target may be out of focus, given the motions of a non-cooperative target. Doppler ambiguities, including the Doppler center blur and spectrum ambiguity, will easily appear due to the limitations of pulse repetition frequency, which causes difficulty in moving-target imaging. Therefore, a robust fast Doppler ambiguity approach for SAR imaging of a ground-based moving target using range azimuth joint processing (RAJP) is presented. Firstly, the use of RAJP, based on a two-dimensional cross-correlation function and linear range cell migration (LRCM) compensation function, is proposed to simultaneously obtain the first- and second-order phase parameters in the fast-time and azimuth-frequency domains. Then, a corresponding azimuth reference function is constructed to image the moving target. Additionally, a principal component analysis-based operation is introduced to solve the mismatch with the LRCM compensation function. The couplings between the range and azimuth and between the first- and second-order parameters can be simultaneously decoupled by the proposed RAJP operation, which simplifies the processing steps. The developed approach can simultaneously obtain the first- and second-order parameters in the fast-time and azimuth-frequency domains, which avoids the propagation error of parameter estimation caused by the stepwise processing operation. The proposed method is relatively fast, given the need for fewer processing steps. The presented approach is robust in terms of Doppler ambiguity and handles the blind speed sidelobe well. In this study, simulated and real data are processed to verify the proposed approach.

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Section: Analysis Related To a Mismatch Of The Lrm Compensation Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fast Approach for SAR Imaging of Ground-Based Moving Targets Based on Range Azimuth Joint Processing

et al. 2022

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“…LVD is a novel method proposed in recent years, and it can gather the energy-dispersed linear frequency-modulated (LFM) signal into an impulse in the centroid frequency and chirp rate (CFCR) domain without any searching process. The above envelope and phase compensation methods are organically cascaded to form complete envelope-phase independent compensation methods, i.e., ARMTD [22] and KTFFT [23] for uniform moving targets; and ACCFLVD [24], KTLVD [25], and SKTRFT [26] for uniformly accelerated targets. In the case of signal envelope and phase decoupling, these methods can exploit their characteristics to select the corresponding transformation and fast algorithm for compensation flexibly.…”

Section: Introductionmentioning

confidence: 99%

Long-Time Coherent Integration for Maneuvering Target Based on Second-Order Keystone Transform and Lv’s Distribution

Yao

Zhang²,

Sun³

2022

Electronics

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Maneuvering target detection is a challenging task for radar due to its maneuverability and weak energy. Long-term coherent integration can remarkably increase signal energy to improve the target detection ability. Unfortunately, high velocity and acceleration of the target will produce linear range migration (LRM), quadratic range migration (QRM), and Doppler frequency migration (DFM), which seriously degrades the coherent integration gain and further deteriorates target detection performance. To solve this problem, a method based on second-order Keystone transform (SKT) and Lv’s distribution (LVD), also combined with Radon Fourier transform (RFT), i.e., SKTLVD, is proposed in this paper. The LRM is firstly corrected by using RFT. Then, the SKT is employed to remove QRM. Finally, LVD is utilized to eliminate the DFM and achieve coherent integration. Compared with several representative methods, the SKTLVD consumes low computation and obtains good target detection performance, striking a balance between computational cost and target detection ability. Numerical simulations and real measured radar data demonstrate that the proposed method can obtain considerable coherent integral gain under acceptable computational complexity.

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“…As to the target with uniform motion, three representative algorithms are mentioned including keystone transform (KT) [15]- [16], axis rotation-moving target detection (AR-MTD) [17]- [18], and Radon-Fourier transform (RFT) [19]- [21]. KT can blindly correct RCM and effectively achieve coherent integration.…”

Section: Introductionmentioning

confidence: 99%

Maneuvering Target Detection Based on Three-Dimensional Coherent Integration

2020

Self Cite

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Due to the target motion, range cell migration (RCM) and Doppler frequency migration (DFM) always occur. That is harmful to the signal enhancement and detection. In order to solve the problem, a novel three-dimensional (3-D) coherent integration (TDCI) based algorithm is proposed in this paper which consists of three stages. Firstly, a 3-D space is generated by the autocorrelation function. After that, TDCI algorithm is realized and TDCI domain is obtained in which the motion parameters can be accurately estimated. Finally, compensating off the RCM and DFM by the estimates, the target signal can be accumulated and detected in range-Doppler frequency domain. Theoretical analyses and simulation experiments are given to demonstrate that the proposed algorithm is able to deal with the problems of velocity ambiguity, shadow effect, and cross-term with superior resolution. Comparisons with several representative algorithms lead us to the conclusion that the proposed algorithm can strike a good balance between computation cost and anti-noise performance. In the end, real measured data processing and result analysis are carried out, which further verify the effectiveness of the proposed algorithm.

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Improved axis rotation MTD algorithm and its analysis

Cited by 25 publications

References 23 publications

Fast Approach for SAR Imaging of Ground-Based Moving Targets Based on Range Azimuth Joint Processing

Fast Approach for SAR Imaging of Ground-Based Moving Targets Based on Range Azimuth Joint Processing

Long-Time Coherent Integration for Maneuvering Target Based on Second-Order Keystone Transform and Lv’s Distribution

Maneuvering Target Detection Based on Three-Dimensional Coherent Integration

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