Distributed Two-Dimensional MUSIC for Joint Range and Angle Estimation with Distributed FMCW MIMO Radars

Abstract

To estimate range and angle information of multiple targets, FMCW MIMO radars have been exploited with 2D MUSIC algorithms. To improve estimation accuracy, received signals from multiple FMCW MIMO radars are collected at the data fusion center and processed coherently, which increases data communication overhead and implementation complexity. To resolve them, we propose the distributed 2D MUSIC algorithm with coordinate transformation, in which 2D MUSIC algorithm is operated with respect to the reference radar’s coordinate at each radar in a distributed way. Rather than forwarding the raw data of received signal to the fusion center, each radar performs 2D MUSIC with its own received signal in the transformed coordinates. Accordingly, the distributed radars do not need to report all their measured signals to the data fusion center, but they forward their local cost function values of 2D MUSIC for the radar image region of interest. The data fusion center can then estimate the range and angle information of targets jointly from the aggregated cost function. By applying the proposed scheme to the experimentally measured data, its performance is verified in the real environment test.

Low-Complexity Joint 3D Super-Resolution Estimation of Range Velocity and Angle of Multi-Targets Based on FMCW Radar

“…In the previous multi-dimensional joint estimation [22][23][24], matrix operations and multi-dimensional peak search are the main reasons for the high complexity. For coherent signals, smoothing is necessary [34].…”

“…For example, the L-shaped, matrix or other shapes of receiving antenna array are used to implement the algorithm for joint super-resolution estimation of elevation and azimuth based on the two-dimensional (2D) MUSIC algorithm [20,21]. Additionally, the 2D MUSIC algorithm [22][23][24] achieves super-resolution joint estimation of range and angle by extending conventional 1D MUSIC for the angle domain to 2D MUSIC for the range-angle domain. However, the difficulty of this kind of algorithm in practice is that a lot of calculations are required in the process of constructing the covariance matrix and multi-dimensional peak searching; especially when the dimension is higher, the calculation amount is huge.…”

FMCW Radar Estimation Algorithm with High Resolution and Low Complexity Based on Reduced Search Area

“…In FMCW radar systems, to solve this problem of estimators based on FFT, subspace-based algorithms have been studied [ 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 ]. In [ 19 , 20 ], Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT)-based algorithms are employed to accurately estimate the direction of arrival (DOA) of targets.…”

“…In [ 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 ], multiple signal classification (MUSIC) algorithms, which are representative subspace-based algorithms, have been proposed. In [ 25 ], authors have proposed the distributed 2D MUSIC algorithm with coordinated transformation in a distributed way. In this paper, each radar performed 2D MUSIC with its own received signal in the transformed coordinates.…”