This letter considers the coherent integration problem for a maneuvering target, involving range migration (RM) and Doppler frequency migration (DFM) within one coherent pulse interval. A new coherent integration method, known as Radon-Lv’s distribution (RLVD), is proposed. It can not only eliminate the RM effect via jointly searching in the target’s motion parameters space, but also remove the DFM and achieve the coherent integration via Lv’s distribution (LVD). Finally, several simulations are provided to demonstrate the effectiveness. The results show that for detection ability, the proposed method is superior to the moving target detection (MTD), Radon-Fourier transform (RFT), and Radon-fractional Fourier transform (RFRFT) under low signal-to-noise-ratio (SNR) environment.

Coherent Integration for Maneuvering Target Detection Based on Radon-Lv’s Distribution

This paper considers the coherent integration problem for maneuvering target detection and motion parameters estimation, involving range migration (RM) and Doppler frequency migration (DFM) within the coherent pulse interval. A fast non-searching method based on adjacent cross correlation function (ACCF) and Lv’s distribution (LVD) is proposed, where the adjacent correlation operation is first employed to remove the RM and reduce the order of DFM. After that, LVD is applied to realize the coherent integration, target detection and parameters estimation. In addition, at the cost of some performance loss, another fast method via ACCF iteratively is also introduced to further reduce the computational complexity and obtain the motion parameters estimation. The proposed two methods are fast in that they can be easily implemented by using complex multiplications, the fast Fourier transform (FFT) and inverse FFT (IFFT). Compared with the existing methods, the presented algorithms can obtain the motion parameters estimation without any searching procedure and can achieve a good balance between the computational cost and the detection ability as well as parameters estimation performance. Finally, several simulation experiments are provided to demonstrate the effectiveness.

Fast Non-Searching Method for Maneuvering Target Detection and Motion Parameters Estimation

In this paper, by employing the symmetric autocorrelation function and the scaled inverse Fourier transform (SCIFT), a coherent detection algorithm is proposed for high-speed targets. This coherent detection algorithm is simple and can be easily implemented by using complex multiplications, the fast Fourier transform (FFT) and the inverse FFT (IFFT). Compared to the Hough transform and the keystone transform, this coherent detection algorithm can detect high-speed targets without the brute-force searching of unknown motion parameters and achieve a good balance between the computational cost and the antinoise performance. Through simulations and analyses for synthetic models and the real data, we verify the effectiveness of the proposed coherent detection algorithm.

Radar High-Speed Target Detection Based on the Scaled Inverse Fourier Transform

In this paper, we propose a coherent detection algorithm for high-speed targets by employing the parametric symmetric autocorrelation function and the frequency-domain deramp-keystone transform (FDDKT). This coherent detection algorithm is an extension of the scaled inverse Fourier transform (SCIFT)-based detection algorithm. However, compared to the SCIFT-based detection algorithm, the proposed coherent detection algorithm can acquire a better antinoise performance and higher peak to sidelobe ratios along the Doppler frequency and the scaled range cell. Simulations and analyses for synthetic models and the real radar data are provided to verify the effectiveness of the proposed coherent detection algorithm.

Radar High-Speed Target Detection Based on the Frequency-Domain Deramp-Keystone Transform

This paper presents an extension of the integrated time-chirp rate analysis technique, known as the parameterized centroid frequency-chirp rate distribution (PCFCRD), for noisy multicomponent linear frequency modulated signals analysis The PCFCRD is based on a newly defined correlation function and its auto term accumulation is two-dimensionally coherent The principle, cross term characteristic, implementation, properties, parameter selection criterion, antinoise performance, and estimation accuracy are analyzed for the PCFCRD In this paper, comparisons with the coherently integrated cubic phase function, maximum likelihood method, and Lv's distribution are performed With mathematic analyses and numerical simulations, we demonstrate that the PCFCRD outperforms these three representative counterparts Further, by combining with analyses of the PCFCRD, several unclear mechanisms of the constant delay introduction are mathematically interpreted, especially quantitative influences on the chirp rate resolution and theoretical antinoise performance

Fengye Hu

Papers

Performance analysis on Lv distribution and its applications