Abstract
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.
Funder
Natural Science Foundation of Hainan Province
The National Natural Science Foundation of China Youth Science Fund Project
National Natural Science Foundation of China
National Key Research and Development Program of China
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference44 articles.
1. Improving landmark detection accuracy for self-localization through baseboard recognition;Premachandra;Int. J. Mach. Learn. Cybern.,2017
2. Cavanini, L., Benetazzo, F., Freddi, A., Longhi, S., and Monteriu, A. (2014, January 10–12). SLAM-based autonomous wheelchair navigation system for AAL scenarios. Proceedings of the 2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA), Senigallia, Italy.
3. Paulet, M.V., Salceanu, A., and Neacsu, O.M. (2016, January 20–22). Ultrasonic radar. Proceedings of the 2016 International Conference and Exposition on Electrical and Power Engineering (EPE), Iasi, Romania.
4. W-Band Time-Domain Multiplexing FMCW MIMO Radar for Far-Field 3-D Imaging;Bleh;IEEE Trans. Microw. Theory Tech.,2017
5. Linear FMCW radar techniques;Stove;IEE Proceedings F (Radar and Signal Processing),1992
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