Joint Angle and Range Estimation in the Fda-Mimo Radar: The Reduced-Dimension Root Music Algorithm

A multiple‐input multiple‐output (MIMO) radar with frequency diverse array (FDA) produces a range‐angle‐dependent steering vector, which can suppress the deceptive jamming in joint range‐angle domain. This in turn complicates the task of radar jamming. With the emergence and development of digital radio frequency memory (DRFM), radar electronic jamming technique has entered the age of coherent jamming. Based on the analysis of the superiority of the FDA‐MIMO radar in cancelling the deceptive jammers, a novel range gate pull‐off method via DRFM against FDA‐MIMO radar is proposed. Compared with the traditional deceptive jamming methods, the proposed method cannot be suppressed due to the mismatch in range. In particular, even the anti‐jamming methods based on power domain cease to be effective. The effectiveness of the proposed scheme in jamming the tracking performance of the FDA‐MIMO radar is demonstrated via computer simulations.

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“…Hence, the spatial spectrum searching based on FDA-MIMO radar has been widely suggested for range and angle estimation of targets. [31][32][33].…”

Section: Countermeasures Against New Jamming Methodsmentioning

confidence: 99%

Research on main‐lobe deceptive jamming against FDA‐MIMO radar

Zhao

Tian

Wang

et al. 2021

IET Radar Sonar & Navi

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“…The MUSIC algorithm estimates the DOA through constructing such a spatial spectrum function [12] (6)…”

Section: Array Signal Modelmentioning

confidence: 99%

Fast Direction of Arrival Estimation for Uniform Circular Arrays With a Virtual Signal Subspace

Quan

Bie

et al. 2021

IEEE Trans. Aerosp. Electron. Syst.

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“…By reducing the search region, the MUSIC algorithm avoids the redundant search computation. In [34,35], the authors reduced the computation complexity in a different way. The two papers respectively used ESPRIT and toot-MUSIC instead of MUSIC to estimate parameters, where the spectral peak search was replaced by the direct formula solution.…”

Section: Introductionmentioning

confidence: 99%

Multi-Target Parameter Estimation of the FMCW-MIMO Radar Based on the Pseudo-Noise Resampling Method

Yao

Lan

Shi³

et al. 2022

Sensors

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Subspace methods are widely used in FMCW-MIMO radars for target parameter estimations. However, the performances of the existing algorithms degrade rapidly in non-ideal situations. For example, a small number of snapshots may result in the distortion of the covariance matrix estimation and a low signal-to-noise ratio (SNR) can lead to subspace leakage problems, which affects the parameter estimation accuracy. In this paper, a joint DOA–range estimation algorithm is proposed to solve the above issues. Firstly, the improved unitary root-MUSIC algorithm is applied to reduce the influence of non-ideal terms in building the covariance matrix. Subsequently, the least squares method is employed to process the data and obtain paired range estimation. However, in a small number of snapshots and low SNR scenarios, even if the impact of non-ideal terms is reduced, there will still be cases where the estimators sometimes deviate from the true target. The estimators that deviate greatly from targets are regarded as outliers. Therefore, threshold detection is applied to determine whether outliers exist. After that, a pseudo-noise resampling (PR) technology is proposed to form a new data observation matrix, which further alleviates the error of the estimators. The proposed method overcomes performance degradation in a small number of snapshots or low SNRs simultaneously. Theoretical analyses and simulation results demonstrate the effectiveness and superiority.

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Joint Angle and Range Estimation in the Fda-Mimo Radar: The Reduced-Dimension Root Music Algorithm

Cited by 9 publications

References 27 publications

Research on main‐lobe deceptive jamming against FDA‐MIMO radar

Research on main‐lobe deceptive jamming against FDA‐MIMO radar

Fast Direction of Arrival Estimation for Uniform Circular Arrays With a Virtual Signal Subspace

Multi-Target Parameter Estimation of the FMCW-MIMO Radar Based on the Pseudo-Noise Resampling Method

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