Meter-wave MIMO radar height measurement method based on adaptive beamforming

Chen, Chen; Tao, Jianfeng; Song, Yafei

doi:10.1016/j.dsp.2021.103272

Cited by 8 publications

(1 citation statement)

References 35 publications

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“…The algorithm can solve the coherence problem caused by the coupling of reflected wave and direct wave of low angle target, and can quickly measure the low elevation of target on flat and complex undulating ground. Reference [11] proposed a metre wave MIMO radar altimetry method based on adaptive beamforming. In this method, the channel matching matrix is used to eliminate the influence of reflected wave on direct wave, and then the target direct wave direction and reflected wave direction are taken as the interference direction for adaptive beamforming to obtain the target low elevation.…”

Section: Introductionmentioning

confidence: 99%

Height measurement method of monostatic metre wave multiple input multiple output radar based on coprime array

Wang

Song

2022

IET Signal Processing

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The height measurement algorithm of metre wave multiple input multiple output (MIMO) radar based on uniform linear array (ULA) has some problems, such as a sharp decline of angle measurement accuracy of ultra-low altitude targets and large fluctuation of height measurement with the change of elevation. In order to solve the above difficult problems, starting from the perspective of reducing the influence of multipath effect by array structure, coprime array (CPA) is applied to the height measurement of monostatic metre wave MIMO radar. In this paper, the signal model of monostatic CPA metre wave MIMO radar is established under the condition of flat ground, a height measurement method using physical array is proposed based on the derivation that it is infeasible to use virtual array method for height measurement, it fills the gap of low elevation estimation method based on sparse array metre wave MIMO radar. The proposed method calculates the echo data according to the characteristics of the steering vector of CPA, then obtains the accurate low elevation by using the generalised multiple signal classification algorithm, and finally the target height is obtained by using the geometric relationship. Simulation experiments compare three typical CPAs with ULA using equal array elements, and verify the superiority of height measurement performance of monostatic metre wave MIMO radar based on CPA and the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%