Range-spread target detection using the time-frequency feature based on sparse representation

Zhang, Xiaowei; Yang, Dongdong; Huang, Wenzhun; Guo, Jianxin; Hou, Yongchun

doi:10.1080/00207217.2018.1440436

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…It is known that the time-frequency representation (TFR) is better suited for showing the energy distribution of the frequency components through the time. For the traditional TFR techniques, the Wigner-Ville distribution (WVD) [2] plays an important role in the target detection [3][4][5], radar imaging [6], rotating machinery [7], monitoring [8], speech, imaging processing [9,10], parameter estimation [11,12], and among others [13][14][15][16][17]. Due to the high computation complexity, it is a time-consuming process to calculate the WVD.…”

Section: Introductionmentioning

confidence: 99%

Efficient method for the field‐programmable gate arrays calculation of Wigner‐Ville distribution

Xiao-wei

Zuo

Huang

et al. 2019

IET signal process.

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Various signals of finite length are often analysed by the Wigner-Ville distribution (WVD). Thus, this article deals with the implementation of their discrete WVDs on field-programmable gate arrays (FPGAs). For the discrete WVD, its calculation procedures are composed of the autocorrelation function and Fourier transform. Since the autocorrelation procedure is the most time-consuming step in the entire computation process, the authors analyse the calculation procedure of autocorrelation function in detail. Here the proposed efficient method just calculates partial non-zero elements of the autocorrelation matrices in order to reduce the computation complexity. The FFT (built-in FPGAs) is then utilised to acquire the discrete WVD. In addition, the idea of the fully-pipelined and parallelism is borrowed to reduce the running time but at the cost of recourses. Finally, the authors provide implementations of both authors proposed method and two other algorithms on different FPGAs. The experimental results show that the Intel Arria-10 FPGA families are the better choice in the floating point arithmetic and that authors method has the best performance.

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Section: Introductionmentioning

confidence: 99%

Efficient method for the field‐programmable gate arrays calculation of Wigner‐Ville distribution

Xiao-wei

Zuo

Huang

et al. 2019

IET signal process.

View full text Add to dashboard Cite

show abstract

A novel detector for range-spread target detection based on HRRP-pursuing

Ye,

Deng,

Huang

2024

Measurement

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Range-Spread Target Detection Networks Using HRRPs

Ye,

Deng,

Pan

et al. 2024

Remote Sensing

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Range-spread target (RST) detection is an important issue for high-resolution radar (HRR). Traditional detectors relying on manually designed detection statistics have their performance limitations. Therefore, in this work, two deep learning-based detectors are proposed for RST detection using HRRPs, i.e., an NLS detector and DFCW detector. The NLS detector leverages domain knowledge from the traditional detector, treating the input HRRP as a low-level feature vector for target detection. An interpretable NLS module is designed to perform noise reduction for the input HRRP. The DFCW detector takes advantage of the extracted high-level feature map of the input HRRP to improve detection performance. It incorporates a feature cross-weighting module for element-wise feature weighting within the feature map, considering the channel and spatial information jointly. Additionally, a nonlinear accumulation module is proposed to replace the conventional noncoherent accumulation operation in the double-HRRP detection scenario. Considering the influence of the target spread characteristic on detector performance, signal sparseness is introduced as a measure and used to assist in generating two datasets, i.e., a simulated dataset and measured dataset incorporating real target echoes. Experiments based on the two datasets are conducted to confirm the contribution of the designed modules to detector performance. The effectiveness of the two proposed detectors is verified through performance comparison with traditional and deep learning-based detectors.

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Range-spread target detection using the time-frequency feature based on sparse representation

Cited by 3 publications

References 18 publications

Efficient method for the field‐programmable gate arrays calculation of Wigner‐Ville distribution

Efficient method for the field‐programmable gate arrays calculation of Wigner‐Ville distribution

A novel detector for range-spread target detection based on HRRP-pursuing

Range-Spread Target Detection Networks Using HRRPs

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