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Robust adaptive beamforming against large DOA mismatch with linear phase and magnitude constraints for multiple-input-multiple-output radar

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IET SIGNAL PROCESSING 2016年第9期10卷 1062-1072页

作者： Yu, Hongbo Feng, Dazheng Yao, Xiaokun Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Peoples R China Beijing Inst Radio Metrol & Measurement Atom Frequency Stand Lab Beijing 100039 Peoples R China

In this study, a robust adaptive beamformer against large direction-of-arrival (DOA) mismatch for multiple-input-multiple-output radar is proposed with linear phase and magnitude constraints on main lobe. First, the full-dimensional weight vector (WV) is expressed as the Kronecker product of the transmit and receive array WVs based on the WV separable principle. For the transmit array WV, the authors find an interesting property that the Fourier spectrum of its conjugate inverse arrangement is equal to its array response function within a phase factor. This property also exists in the receive array WV. Using this property, the phase response of the transmit and receive array, respectively, is set to be linear based on designing a finite impulse response filter. Then, a bi-quadratic cost function with respect to the transmit and receive WVs is established by only constraining the real magnitude response and it is effectively solved by the bi-iterative algorithm. The proposed beamformer has lower computational complexity and faster sample convergence rate, compared with the traditional magnitude response constraints beamformers with full degrees of freedom. Moreover, it can provide good robustness against large DOA mismatch. Numerical experiments are provided to demonstrate the effectiveness of the proposal.

关键词： MIMO radar radar signal processing array signal processing vectors Fourier transforms FIR filters iterative methods convergence of numerical methods degrees of freedom magnitude response constraints beamformers convergence rate bi-iterative algorithm biquadratic cost function FIR filter finite impulse response filter phase response array response function conjugate inverse arrangement Fourier spectrum transmit array receive array Kronecker product WV full-dimensional weight vector main lobe linear phase direction-of-arrival mismatch DOA mismatch MIMO radar multiple-input-multiple-output radar robust adaptive beamforming

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Robust and fast beamforming with magnitude response constraints for multiple-input multiple-output radar

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IET RADAR SONAR AND NAVIGATION 2016年第3期10卷 610-616页

作者： Yu, HongBo Feng, DaZheng Nie, WeiKe Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Peoples R China NW Univ Xian Sch Informat & Technol Xian 710127 Peoples R China

In this study, a new robust and fast beamformer is developed for multiple-input multiple-output radar to improve the robustness against steering vector (SV) mismatches. A convex robust model with magnitude response constraints (MRC) is established by using the conjugate symmetry characteristic of the transmitted-received SV. To reduce the computational complexity and the number of samples required, the full-dimensional weight vector (WV) is expressed as the Kronecker product of the transmitted and received array WVs. Thus, the convex problem is converted into a bi-quadratic cost function and it is solved by combining the bi-iterative algorithm and convex quadratic program. The proposed beamformer can flexibly control the beamwidth of the robust region and achieve high output signal-to-interference-plus-noise ratio. Moreover, the proposed method has lower computational complexity and faster sample convergence rate as compared with the traditional MRC-iterative second-order cone programming and MRC-semi-definite programming beamformers. Finally, numerical simulations are provided to demonstrate the effectiveness and robustness of the proposed beamformer.

关键词： array signal processing MIMO radar iterative methods quadratic programming convex programming robust fast beamforming magnitude response constraints multiple-input multiple-output radar steering vector mismatches MRC full-dimensional weight vector WV Kronecker product bi-quadratic cost function bi-iterative algorithm convex quadratic program numerical simulations

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Single-sensor based indoor localisation by exploiting multipath propagation

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ELECTRONICS LETTERS 2018年第3期54卷 179-181页

作者： Hu, bin Shi, Zhenyu Wang, Yi Huawei Technol Co Ltd Shanghai 201206 Peoples R China

An effective and reliable indoor positioning is a highly needed service. A bi-iterative algorithm for mobile user localisation in an indoor space is presented based on the multipath measurements exploited by a single sensor. The bi-iterative algorithm calculates the locations of the mobile user and the so-called virtual sensors, which are mirror images of the physical sensors, alternatively. Notably, this algorithm does not require any a priori knowledge about the environment. Simulation results show that the location of virtual sensors can be accurately estimated after a couple of iterations, and in return, they enhance the accuracy of user localisation. The proposed algorithm can localise a user with sub-metre accuracy in most cases. Moreover, it even outperforms the positioning algorithms that require full information about the environment.

关键词： radio direction-finding radiowave propagation telecommunication network reliability iterative methods mobile radio wireless sensor networks single-sensor-based indoor localisation multipath propagation indoor positioning reliability bi-iterative algorithm mobile user localisation multipath measurements mobile user virtual sensors iterations user localisation

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