Improved radar tracking using a multipath model: maximum likelihood compared with eigenvector analysis

Bossé, Éloi; Turner, R.M.; Brookes, D.

doi:10.1049/ip-rsn:19941162

Cited by 17 publications

(4 citation statements)

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“…The specific angle measurement process at high SNR is first to obtain the RCA jρ di j, jρ ii j through Equation (13), and then determine the signal path with the largest RCA for DOA estimation. Specifically, in the DOA estimation of Equation ( 18), if both jρ di j and jρ ii j are less than 1, select direct path data X ″ dd ; if jρ di j > 1 and jρ di j > jρ ii j, then select single-way multipath data X ″ di ; and if jρ ii j > 1 and jρ ii j > jρ di j, then select two-way multipath data X ″ ii .…”

Section: The Proposed Methodsmentioning

confidence: 99%

“…Pillai and Kwon [7], Schmidt [8], and Zoltowski et al [9] proposed first making the signal decoherent and then using the super-resolution MUSIC and ESPRIT methods to estimate the DOA, but these methods inevitably lose the antenna aperture in the process of decoherence. The maximum likelihood (ML) algorithm [10][11][12][13] is directly used for DOA estimation between coherent signals, avoiding aperture loss, so it has been widely used in multipath environments. However, the ML method is mainly used to overcome the influence of coherent signals on DOA estimation.…”

Section: Introductionmentioning

confidence: 99%

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Direction of arrival estimation of airborne multiple‐input multiple‐output radar in multipath environment

Zhao

Chen

et al. 2021

IET Radar Sonar & Navi

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Airborne multiple-input multiple-output (MIMO) radar can transmit orthogonal waveforms to increase the range of the detection target. However, in a multipath environment, airborne MIMO radar also has energy radiated to the target through multipath directions, which makes the multipath phenomenon of airborne MIMO radar complicated. Because the direct path signal and the multipath signals of the airborne radar are at different range gates, the characteristics of data between the direct path signal and the multipath signals of the airborne MIMO radar can be used to propose a method for estimating the reflection coefficient amplitude (RCA). Considering that the target echoes data at different range gates can be used to estimate the elevation angle of the target, a direction of arrival (DOA) estimation method using data fusion at low signal-to-noise ratio (SNR) is proposed. Moreover, at high SNR, the signal path corresponding to the maximum target echo power is selected for DOA estimation based on the estimated multipath RCA. The proposed method makes full use of all target echo data of airborne MIMO radar in a multipath environment and is suitable for practical applications. Finally, simulation experiments verify that the proposed method can effectively improve the DOA estimation accuracy.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Section: The Proposed Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Direction of arrival estimation of airborne multiple‐input multiple‐output radar in multipath environment

Zhao

Chen

et al. 2021

IET Radar Sonar & Navi

View full text Add to dashboard Cite

show abstract

“…How to improve the performance of direction of arrival (DOA) estimation, many experts and scholars have made a great deal of research. In general, there are three categories of array signal processing approaches to solving the problem, high‐resolution techniques [5–9], maximum‐likelihood (ML) techniques [10–13] and neural network techniques [14–21].…”

Section: Introductionmentioning

confidence: 99%

Altitude measurement based on characteristics reversal by deep neural network for VHF radar

Xiang

Chen

Yang

et al. 2019

IET Radar, Sonar & Navigation

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“…Using this model, the number of unknown parameters decreases in a way that the elevation angle of the target can be estimated more precisely. References [7–11] are papers in which this method is considered.…”

Section: Introductionmentioning

confidence: 99%

Direction of arrival estimation using array of antennas for low‐altitude targets in multi‐path environment

Akhavan

Bahabadi

Norouzi

et al. 2016

IET Radar, Sonar & Navigation

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Improved radar tracking using a multipath model: maximum likelihood compared with eigenvector analysis

Cited by 17 publications

References 0 publications

Direction of arrival estimation of airborne multiple‐input multiple‐output radar in multipath environment

Direction of arrival estimation of airborne multiple‐input multiple‐output radar in multipath environment

Altitude measurement based on characteristics reversal by deep neural network for VHF radar

Direction of arrival estimation using array of antennas for low‐altitude targets in multi‐path environment

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