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  1. 81

    Novel method for angle estimating of bistatic MIMO radar by Zhi-dong ZHENG, Jian-yun ZHANG, Jin-you QU, Xiu-qing LIN

    Published 2012-12-01
    “…The extended signal subspace was constructed to reduce the computation load of former data processing of bistatic MIMO radar.According to the characteristic of this signal subspace,the polynomial rooting-spatial filtering algorithm was proposed to estimate the direction of arrivals (DOA) and direction of departure (DOD).It avoided the conventional two-dimensional spectrum searching and the estimated parameters were paired automatically without extra pairing operation.Furthermore,Cramer-Rao bounds (CRB) for DOA and DOD estimation were derived under multi-target and single target in bistatic MIMO radar.The results illustrate that when spatial sector is filt the higher order of the Taylor series expansion,the better angular accuracy of targets can be derived.The proposed algorithm can get good estimation performance even when the DODs of targets are close to each other.And the polynomial rooting-spatial filtering algorithm can perform better than ESPRIT algorithm in resolution in SNR,and both of them are close to the CRB in the high SNR.…”
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  2. 82

    Improved transmit beamforming design based on ADMM for low probability of intercept of FDA-MIMO radar by Pengcheng GONG, Yuntao WU

    Published 2022-04-01
    “…Considering the low probability of intercept problem that the signal-dependent interference and the target were located in the same angle, an improved transmit beamforming design based on the alternating direction method of multipliers (ADMM) was proposed for multiple-input multiple-output with frequency diverse array radar.The transmit energy was minimized at the target under constraints of the energy at each transmitter and signal clutter-plus-noise ratio requirement.Subsequently, a cyclic algorithm was developed to tackle the non-convex design problem.Firstly, the optimal receive filter was obtained by generalized Rayleigh quotient.And then the transmit beamforming was optimized by employing auxiliary variables and ADMM to solve quadratic programming problem with fractional inequality constraint.Moreover, both the convergence and computational complexity of the proposed algorithm were discussed.Simulation results show that, compared with the semi-denite programming method, the proposed method not only attains the given antenna power, but also achieves the better mainlobe focusing performance at the target.Furthermore, the null levels at the clutter locations and the jamming directions obtained by the proposed method are -50 dB above.…”
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