Coherent Integration and Parameter Estimation for High-Speed Target Detection With Bistatic MIMO Radar

Wang, Mingxing; Li, Xiaolong; Zhang, Zerui; Cui, Guolong; Yeo, Tat‐Soon

doi:10.1109/tgrs.2023.3298825

Cited by 14 publications

(3 citation statements)

References 56 publications

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“…With the development of stealth technology and aircraft technology, there has been a large number of high-speed airborne maneuvering targets with weak echoes. How to enhance the echoes of such targets and achieve effective detection has become a research hotspot in the field of radar signal processing [1][2][3][4][5][6][7][8][9]. Long-time coherent integration is an effective means to improve the signalto-noise ratio (SNR) of pulse Doppler radar reception and enhance target detection capability [10,11].…”

Section: Reviewmentioning

confidence: 99%

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Variable Doppler Starting Point Keystone Transform for Radar Maneuvering Target Detection

Jia,

Feng,

Qiao

et al. 2024

Preprint

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The Doppler band compensated by the keystone transform (KT) is limited. Therefore, it needs to be used in conjunction with the Doppler ambiguity compensation function to correct the range migration (RM) caused by maneuvering targets with Doppler ambiguity. However, the KT implemented by sinc interpolation suffers from significant performance loss at boundaries of compensation Doppler bands. Additionally, in a multi-target scenario, KT implementation methods occupy high complexity when the Doppler range of targets spans over two compensation Doppler bands. To address aforementioned issues, this study presents a variable Doppler starting point keystone transform (VDSPKT) method, where a new form of ambiguity compensation function is constructed, turning the Doppler starting point of the compensation band in KT variable. Firstly, the position of the compensation Doppler band is changed from fixed to adjustable as needed, enhancing the flexibility of KT. Crucially, the connection points of the compensation Doppler bands in sinc interpolation are reset, avoiding the performance loss at their boundaries. Also, the compensation band is adjusted to cover the narrow Doppler frequency range caused by targets, significantly improving the computational efficiency. Finally, the simulation results demonstrate that the proposed approach effectively addresses the performance degradation and high computational complexity of KT in the aforementioned scenarios, resulting in a computational load reduced by approximately 50% compared to traditional methods.

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Section: Reviewmentioning

confidence: 99%

“…In Figure 3, the horizontal axis represents Doppler frequency, and the ranges marked by curly braces are the compensation Doppler bands. The band corresponding to the Doppler ambiguity number 2 1…”

Section: Narrow Doppler Frequency Rangementioning

confidence: 99%

Variable Doppler Starting Point Keystone Transform for Radar Maneuvering Target Detection

Jia,

Feng,

Qiao

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Keystone transform (KT) is a range migration correction method widely used in synthetic aperture radar imaging. The core of KT is to scale the time axis of the echo in the range-frequency domain [7] so as to correct the linear range migration caused by the target motion [8,9]. But KT is not effective for complex movement because it cannot correct the range curving caused by the high-order movement of the target, nor can it eliminate the Doppler ambiguity [10].…”

Section: Introductionmentioning

confidence: 99%

Long-Time Coherent Integration for Marine Targets Based on Segmented Compensation

Zhao,

Zhang,

Wang

et al. 2023

Remote Sensing

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Long-time coherent integration is an effective method for dim target detection from heavy sea clutter. To detect dim targets, a novel long-time coherent integration method based on segmented compensation is proposed in this paper. The method models the complex motion of a marine target as the combination of multi-stage uniformly accelerated motions. According to the difference of energy distribution in Doppler frequency domain, this method can suppress sea clutter and detect the regions of interest (ROIs). Using time–frequency domain energy analysis, the potential target can be extracted. After estimating the parameters and segmentation, for the potential targets, the phase compensation factor can be used to eliminate the Doppler frequency modulation caused by the complex motion. Finally, for the compensated signal, long-time coherent integration is performed to realize the target detection and discrimination under low signal-to-clutter ratio. To verify the effectiveness of the proposed method, we apply simulation data and measured CSIR data in the experiments. The results show that the proposed method can integrate the energy of target more effectively than MTD and RFrFT, and the novel method has better detection performance for complex moving targets under low signal-to-clutter ratio situation.

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Clustered Hybrid Accumulation Optimization Method for Target Detection With Multi-UAV Netted Radar

Li,

Wang

et al. 2024

2024 9th International Conference on Signal and Image Processing (ICSIP)

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Coherent Integration and Parameter Estimation for High-Speed Target Detection With Bistatic MIMO Radar

Cited by 14 publications

References 56 publications

Variable Doppler Starting Point Keystone Transform for Radar Maneuvering Target Detection

Variable Doppler Starting Point Keystone Transform for Radar Maneuvering Target Detection

Long-Time Coherent Integration for Marine Targets Based on Segmented Compensation

Clustered Hybrid Accumulation Optimization Method for Target Detection With Multi-UAV Netted Radar

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