Nonlinear processing for enhanced delay-Doppler resolution of multiple targets based on an improved radar waveform

Zhu, Jiahua; Song, Yongping; Fan, Chongyi; Huang, Xiaotao

doi:10.1016/j.sigpro.2016.07.025

Cited by 9 publications

(2 citation statements)

References 21 publications

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“…However, the aforementioned methods only either preserve the Doppler resolution (none of them exceed the resolution of the conventional Golay pair) or enlarge the sidelobe blanking area, but they cannot achieve both at the same time. From another view, pointwise processing [7] (or cell-by-cell processing in some publications [8,9]) has been extensively researched in the processing of radar images to integrate the advantages of two figures and produce a further improvement in the signal-to-noise ratio (SNR). In our early work [10], a pointwise minimization processor (PMP) was proposed to combine the delay-Doppler maps of the BD algorithm with a weighted average Doppler (WD) algorithm under Golay waveforms, which maintained the Doppler resolution as well as a large sidelobe suppression area.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Doppler Resolution and Sidelobe Suppression Performance for Golay Complementary Waveforms

et al. 2023

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An enhanced Doppler resolution and sidelobe suppression have long been practical issues for moving target detection using Golay complementary waveforms. In this paper, Golay complementary waveform radar returns are combined with a proposed processor, the pointwise thresholding processor (PTP). Compared to the pointwise minimization processor (PMP) illustrated in a previous work, which could only achieve a Doppler resolution comparable to existing methods, this approach essentially increases the Doppler resolution to a very high level in theory. This study also introduced a further filtering process for the delay-Doppler map of the PTP, and simulations verified that the method results in a delay-Doppler map virtually free of range sidelobes.

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Section: Introductionmentioning

confidence: 99%

Enhanced Doppler Resolution and Sidelobe Suppression Performance for Golay Complementary Waveforms

et al. 2023

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“…A tracking algorithm using a particle filter that selects and configures LFM or a nonlinear frequency modulation waveform in the transmitter is proposed by Sira et al [ 4 ], for better detection of target and estimation of its current state. Rasool et al proposed a V-chirp waveform in [ 5 ], inspired by the echo-location method of bats, for a significant enhancement of range and Doppler resolution, compared to LFM waveforms, with only a slight loss of detection probability, and Zhu et al [ 6 ] extends the waveform scheme to the double V-chirp waveform, to suppress false targets and further enhance resolution in multiple target scenarios. Other waveform design schemes in place of LFM waveforms, such as orthogonal frequency division multiplexing (OFDM) and OFDM-chirp waveforms [ 7 , 8 , 9 , 10 ], or multiple-input multiple-output (MIMO) radar design [ 11 , 12 , 13 , 14 ], and waveform libraries scheduling [ 15 , 16 , 17 ] can also be deployed to improve detection and resolution performance of radar, but more complex waveform styles and hardware structures are required for these approaches.…”

Section: Introductionmentioning

confidence: 99%

Golay Complementary Waveforms in Reed–Müller Sequences for Radar Detection of Nonzero Doppler Targets

Zhu

Wang

Huang

et al. 2018

Sensors

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Golay complementary waveforms can, in theory, yield radar returns of high range resolution with essentially zero sidelobes. In practice, when deployed conventionally, while high signal-to-noise ratios can be achieved for static target detection, significant range sidelobes are generated by target returns of nonzero Doppler causing unreliable detection. We consider signal processing techniques using Golay complementary waveforms to improve radar detection performance in scenarios involving multiple nonzero Doppler targets. A signal processing procedure based on an existing, so called, Binomial Design algorithm that alters the transmission order of Golay complementary waveforms and weights the returns is proposed in an attempt to achieve an enhanced illumination performance. The procedure applies one of three proposed waveform transmission ordering algorithms, followed by a pointwise nonlinear processor combining the outputs of the Binomial Design algorithm and one of the ordering algorithms. The computational complexity of the Binomial Design algorithm and the three ordering algorithms are compared, and a statistical analysis of the performance of the pointwise nonlinear processing is given. Estimation of the areas in the Delay–Doppler map occupied by significant range sidelobes for given targets are also discussed. Numerical simulations for the comparison of the performances of the Binomial Design algorithm and the three ordering algorithms are presented for both fixed and randomized target locations. The simulation results demonstrate that the proposed signal processing procedure has a better detection performance in terms of lower sidelobes and higher Doppler resolution in the presence of multiple nonzero Doppler targets compared to existing methods.

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Range sidelobe suppression for using Golay complementary waveforms in multiple moving target detection

et al. 2017

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Nonlinear processing for enhanced delay-Doppler resolution of multiple targets based on an improved radar waveform

Cited by 9 publications

References 21 publications

Enhanced Doppler Resolution and Sidelobe Suppression Performance for Golay Complementary Waveforms

Enhanced Doppler Resolution and Sidelobe Suppression Performance for Golay Complementary Waveforms

Golay Complementary Waveforms in Reed–Müller Sequences for Radar Detection of Nonzero Doppler Targets

Range sidelobe suppression for using Golay complementary waveforms in multiple moving target detection

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