Computationally Efficient DOA Tracking Algorithm in Monostatic MIMO Radar with Automatic Association

Huaxin Yu,Xiaofei Zhang,Hailang Wu,Xueqiang Chen

doi:10.1155/2014/501478

Abstract

We consider the problem of tracking the direction of arrivals (DOA) of multiple moving targets in monostatic multiple-input multiple-output (MIMO) radar. A low-complexity DOA tracking algorithm in monostatic MIMO radar is proposed. The proposed algorithm obtains DOA estimation via the difference between previous and current covariance matrix of the reduced-dimension transformation signal, and it reduces the computational complexity and realizes automatic association in DOA tracking. Error analysis and Cramér-Rao lower bound (CRLB) of DOA tracking are derived in the paper. The proposed algorithm not only can be regarded as an extension of array-signal-processing DOA tracking algorithm in (Zhang et al. (2008)), but also is an improved version of the DOA tracking algorithm in (Zhang et al. (2008)). Furthermore, the proposed algorithm has better DOA tracking performance than the DOA tracking algorithm in (Zhang et al. (2008)). The simulation results demonstrate effectiveness of the proposed algorithm. Our work provides the technical support for the practical application of MIMO radar.

Highlights

Multiple-input multiple-output (MIMO) radar employs multiple antennas to simultaneously transmit diverse waveforms and utilizes multiple antennas to receive the reflected signals [1,2,3,4,5]
Direction of arrival (DOA) tracking for array antenna has been investigated for a long time, which contains projection approximation and subspace tracking (PAST) algorithm [25], projection approximation and subspace tracking of deflation (PASTd) algorithm [26], Bi-iterative least-square method [27], Biiteration single value decomposition [28], and others [29, 30]
A low-complexity method was proposed in [31, 32] to track DOA of moving sources using the elements of the covariance matrix of the received signal in array signal processing, and the DOA tracking algorithm can implement automatic association, which is a key technique in DOA tracking [33]

Summary

Introduction

Multiple-input multiple-output (MIMO) radar employs multiple antennas to simultaneously transmit diverse waveforms and utilizes multiple antennas to receive the reflected signals [1,2,3,4,5]. A low-complexity method was proposed in [31, 32] to track DOA of moving sources using the elements of the covariance matrix of the received signal in array signal processing, and the DOA tracking algorithm can implement automatic association, which is a key technique in DOA tracking [33]. DOA tracking for MIMO radar is to track the DOA of the moving targets. PARAFAC adaptive algorithms [17, 18] and PASTd [34] were used for DOA tracking for MIMO radar, but an extra data association is required. Kalman-PASTd was proposed in [35] for DOA tracking for monostatic MIMO Radar with automatic association. We propose a computationally efficient DOA tracking algorithm in monostatic MIMO radar with automatic association. We reference the array-signal-processing DOA tracking idea in [31] to propose a DOA tracking

Data Model

DOA Tracking Algorithm

Error Analysis and CRLB

Simulation Results

Conclusions