Detection of constant radial acceleration weak target via IAR-FRFT

Rao, Xuan; Tao, Haihong; Su, Jia; Xie, Jian; Zhang, Xiangyang

doi:10.1109/taes.2015.140739

Cited by 60 publications

(23 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When τ and τ 1 have fixed nonzero lag time difference, the coupling between τ and τ 1 will be eliminated, i.e., 2τ 0 = τ 1 − τ (12) where τ 0 is the fixed lag time. Equation (11) can be further expressed as:…”

Section: Fd-sopd With Mono-targetmentioning

confidence: 99%

“…The performance of the proposed method is about 4dB better than those of ACCF-LVD on the input SNR threshold. However, compared with TDST, the FD-SoPD suffers from about 8dB SNR loss due to the constant delay in Equation (12). Overall, the proposed technique strikes a better balance between parameter estimation performance and computational cost.…”

Section: Parameter Estimation Performancementioning

confidence: 99%

“…With the increasing requirements for space target detection and high-resolution imaging, radar high-speed maneuvering target detection has drawn growing attention [1][2][3][4][5][6][7][8][9][10][11]. Normally, a low-speed target is located in the same range cell during the short observation time, and the conventional moving target detection (MTD) algorithm [12] can complete coherent integration by using fast Fourier transform (FFT). It is well known that in order to improve the detection ability in far-range and low radar cross section (RCS) targets, a long-term coherent integration is always required [13].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Coherent Integration for Radar High-Speed Maneuvering Target Based on Frequency-Domain Second-Order Phase Difference

et al. 2019

View full text Add to dashboard Cite

In recent years, target detection has drawn increasing attention in the field of radar signal processing. In this paper, we address the problem of coherent integration for detecting high-speed maneuvering targets, involving range migration (RM), quadratic RM (QRM), and Doppler frequency migration (DFM) within the coherent processing interval. We propose a novel coherent integration algorithm based on the frequency-domain second-order phase difference (FD-SoPD) approach. First, we use the FD-SoPD operation to reduce the signal from three to two dimensions and simultaneously eliminate the effects of QRM and DFM, which leads to signal-to-noise ratio improvement in the velocity-acceleration domain. Next, we estimate the target motion parameters from the peak position without the need for a search procedure. We show that this algorithm can be easily implemented by using complex multiplications combined with fast Fourier transform (FFT) and inverse FFT (IFFT) operations. We perform comparisons with several representative algorithms and show that the proposed technique can be used to achieve a good trade-off between computational complexity and detection performance. We present both simulated and experimental data to demonstrate the effectiveness of the proposed method.

show abstract

Section: Fd-sopd With Mono-targetmentioning

confidence: 99%

Section: Parameter Estimation Performancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Coherent Integration for Radar High-Speed Maneuvering Target Based on Frequency-Domain Second-Order Phase Difference

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Recently, many algorithms have been developed for the target with acceleration motion. KT-fractional FT (KT-FRFT) [22] and improved AR-FRFT (IAR-FRFT) [23] are two popular algorithms. They coherently integrate the target signal by eliminating RCM and DFM separately.…”

Section: Introductionmentioning

confidence: 99%

Maneuvering Target Detection Based on Three-Dimensional Coherent Integration

2020

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…(b) e second category further considers the uniform radial acceleration in the motion. Several typical algorithms could achieve satisfactory integration performance, such as the KT-Dechirp method [23], KT and Lv's distribution (KT-LVD) [24], improved axis rotation and fractional Fourier transform (IAR-FRFT) [25], KT and linear canonical transform (KT-LCT) [26], MLRT-LVD [27], minimum entropy and Radon transform [28], Radon-LVD (RLVD) [29,30], RFT-KT [31], frequency-domain second-order phase difference (FD-SoPD) [32], segmented KT and Doppler Lv's transform (SKT-DLVT) [33], frequency autocorrelation function and and Lv's distribution (FAF-LVD) [34], and RFT-FRFT [35]. However, for highly maneuvering targets, jerk motion usually exists and defocuses the Doppler spectrum.…”

Section: Introductionmentioning

confidence: 99%

Radar Coherent Detection for Maneuvering Target Based on Product-Scaled Integrated Cubic Phase Function

Jin-yang

Jin

Shao³

et al. 2019

International Journal of Antennas and Propagation

View full text Add to dashboard Cite

This paper considers the long-time coherent detection problem for maneuvering targets with jerk motion. A novel method based on product-scaled integrated cubic phase function (PSICPF) is proposed. The main strategy of PSICPF is to estimate target’s motion parameters along the slow time for each range frequency cell. In order to eliminate the coupling terms between range frequency and slow time, the scaled nonuniform fast Fourier transform (SNUFFT) is newly defined in the integrated cubic phase function (ICPF). Then, the product operation is employed to coherently synthesize the estimation results, improve the antinoise performance, and suppress the cross terms. Finally, coherent integration is achieved via keystone transform (KT) and fold factor searching. Analysis demonstrates that the SNUFFT has the same computational complexity with nonuniform fast Fourier transform (NUFFT), and thus the PSICPF could be efficiently implemented via complex multiplications, the fast Fourier transform (FFT), and NUFFT. Detailed comparisons with other representative methods in computational cost, motion parameter estimation performance, and detection ability indicate that the PSICPF could achieve a good balance between the computational cost and detection ability. Simulations and real data processing results are presented to verify the effectiveness of the proposed method.

show abstract

Detection of constant radial acceleration weak target via IAR-FRFT

Cited by 60 publications

References 22 publications

Coherent Integration for Radar High-Speed Maneuvering Target Based on Frequency-Domain Second-Order Phase Difference

Coherent Integration for Radar High-Speed Maneuvering Target Based on Frequency-Domain Second-Order Phase Difference

Maneuvering Target Detection Based on Three-Dimensional Coherent Integration

Radar Coherent Detection for Maneuvering Target Based on Product-Scaled Integrated Cubic Phase Function

Contact Info

Product

Resources

About