Altitude measurement of low‐elevation target for VHF radar based on weighted sparse Bayesian learning

Li, Cunxu; Chen, Baixiao; Yang, Minglei; Zheng, Yingbin

doi:10.1049/iet-spr.2016.0738

Cited by 4 publications

(2 citation statements)

References 32 publications

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“…In practical applications, multiple reflection paths exist simultaneously in the complex terrain environment and the prior information is difficult to measure correctly. To deal with this problem, in [34,35], the influence of varied topography is regarded as a random perturbation, and the target altitude is measured by recovering signals using the sparse Bayesian learning (SBL) method or orthogonal matching pursuit method. Similarly, in [36,37], after establishing the multipath signal model in a complex environment with varied topography, the authors first estimate the main component of the signal subspace or the hybrid steer vector in which the information of target elevation angle and reflected signals directions are included.…”

Section: Introductionmentioning

confidence: 99%

Low elevation target altitude measurement for ubiquitous radar based on known transmitted waveform and sparse representation

Guo

Peng

Tian

et al. 2021

IET Radar Sonar & Navi

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The multipath effect deteriorates the performance of low elevation target altitude estimation with a ubiquitous radar strongly, especially in complex terrain environments in which multiple reflection paths exist simultaneously. This work shows how the authors reconstructed a multipath model for ubiquitous radar with a known waveform and took advantage of it to improve the altitude measurement performance when locating low‐altitude small targets in complex terrain environments. The authors first present a multipath propagation model for target elevation angle estimation in which not only received multipaths but also transmitted multipaths are taken into consideration. Then, a reconstructed elevation angle estimation model in which the waveform is known and the target elevation information is as same as the original model is derived. Finally, an innovative low elevation angle estimation algorithm based on a maximum likelihood estimator and a sparse representation is proposed. Simulations and experiment results verify that the proposed algorithm has a much more robust low elevation angle estimation performance than existing methods in complex terrain environments. Index Terms—Target altitude measurement, complex multipath effect, known transmitted waveform, sparse representation, ubiquitous radar.

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Section: Introductionmentioning

confidence: 99%

Low elevation target altitude measurement for ubiquitous radar based on known transmitted waveform and sparse representation

Guo

Peng

Tian

et al. 2021

IET Radar Sonar & Navi

View full text Add to dashboard Cite

show abstract

“…Many approaches, including carrying out multiple iterations and approximations, have been proposed to solve this problem. Sparse Bayesian learning has been used to estimate the perturbation and elevation angle iteratively [13,14]. A robust maximum likelihood estimator involving the use of the minimax approach has been developed [15].…”

Section: Introductionmentioning

confidence: 99%

Low Elevation Angle Estimation with Range Super-Resolution in Wideband Radar

Huan

Zhang

Dai

et al. 2020

Sensors

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Height detection of a low elevation angle target is crucial in radar applications. Due to the presence of the multiple path reflections, elevation angle estimation is difficult with conventional narrowband radar waveforms. The reflection ground area parameters are especially hard to obtain for modeling. In this paper, we proposed a wideband, low elevation angle estimator based on range super-resolution, achieving a high robustness to variations in reflection coefficients. A relaxation (RELAX) algorithm was applied as the range super-resolution algorithm to separate the direct target echo and the reflected signal thanks to the relatively abundant frequency diversity. The grazing angle was obtained by synthesizing the steering vector of the direct signal and the range structure relationship between the two signal components. Theoretical analysis and simulation results confirmed the improved behavior of the proposed robust estimator in contrast to other conventional algorithms.

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Altitude measurement method of VHF radar based on spatial smoothing of correlation matrix

Wang,

Wei,

et al. 2023

Sci Rep

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For very high frequency (VHF) phased array radar, the key problem to be solved in altitude measurement is the super-resolution spatial spectrum estimation under the condition of coherent sources. The spatial smoothing algorithm is a kind of decorrelation algorithm with excellent properties, but the decorrelation process is at the expense of the effective array aperture. Because it only uses the autocorrelation information of the subspace, its performance is significantly reduced, when the positions of the coherent sources are very close. In order to solve the above problems, this paper proposes an altitude measurement method of VHF radar based on the space smoothing of autocorrelation and cross-correlation matrix, which is used to realize the correlation and super-resolution processing of echo signals and multipath signals. The proposed method does not need to construct a weighting matrix, and can make full use of the received data, enhance the signal components in the equivalent spatial smoothing matrix, reduce the impact of noise, and improve the resolution of coherent sources. The simulation results show that the weighted spatial smoothing method proposed in this paper is correct and effective.

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Altitude measurement of low‐elevation target for VHF radar based on weighted sparse Bayesian learning

Cited by 4 publications

References 32 publications

Low elevation target altitude measurement for ubiquitous radar based on known transmitted waveform and sparse representation

Low elevation target altitude measurement for ubiquitous radar based on known transmitted waveform and sparse representation

Low Elevation Angle Estimation with Range Super-Resolution in Wideband Radar

Altitude measurement method of VHF radar based on spatial smoothing of correlation matrix

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