Abstract
In order to improve the feasibility of low-elevation height measurement for meter-wave multiple-input multiple-output (MIMO) radar, a virtual sub-array-level beam splitting low-elevation height measurement algorithm is proposed. The algorithm can solve the coherence problems caused by low-angle multipath reflection, target reflection wave and direct wave coupling, and quickly measure the low elevation angle of the target on a flat ground, and then obtain the target height through the geometric relationship. First, establish an error graph in advance according to the radar frequency, antenna height and reflection coefficient; then combine the nine virtual channels of the three-element MIMO radar into three channels; then use the phase difference between adjacent channels to perform low-elevation encoding to confirm the target elevation range; The calculated amplitude error value is compared with the error curve diagram established in advance to obtain the target low elevation angle; finally, the target height data is obtained according to the geometric relationship. The signal model and error formula under complex terrain are finally derived. The simulation verifies the accuracy and superiority of the proposed algorithm on flat ground and complex undulating ground.
Highlights
The wavelength of the meter wave radar is generally in the meter wave band
In order to further reduce the practical application difficulty of low elevation angle estimation for meter-wave multiple-input multiple-output (MIMO) radar, this paper proposes a virtual sub-array-level beam splitting height measurement algorithm for MIMO radar based on the paper [6]
According to the expansion characteristics of the MIMO radar virtual array element, a virtual sub-array-level beam splitting algorithm based on the MIMO radar is proposed
Summary
The wavelength of the meter wave radar is generally in the meter wave band. Because of its long wavelength, it has natural advantages in anti-stealth, anti-radiation missiles, air defense early warning, etc. Paper [23] proposes to use polarization smoothing algorithm to process the echo signal, and use the generalized MUSIC algorithm to solve the coherence problem of low-altitude targets This method uses the geometric information of the symmetrical multipath model to reduce the amount of calculation and can solve the application problem of meter wave radar altitude measurement under extreme conditions. In order to further reduce the practical application difficulty of low elevation angle estimation for meter-wave MIMO radar, this paper proposes a virtual sub-array-level beam splitting height measurement algorithm for MIMO radar based on the paper [6]. Simple and practical, this method can quickly obtain the target low elevation angle, and can be implemented in engineering.
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