This correspondence focuses on the asymptotic performance analysis of general direction-of-arrival (DOA) finding algorithms under the stochastic model assumption in which source and noise signals are possibly non-Gaussian and possibly temporally correlated. We prove, in particular, that all the covariance-based DOA estimators are sensitive to the temporal correlation of the sources when the noi...

This paper introduces the application of high-resolution angle estimation algorithms for a 77GHz automotive long range radar sensor. Highresolution direction of arrival (DOA) estimation is important for future safety systems. Using FMCW principle, major challenges discussed in this paper are small number of snapshots, correlation of the signals, and antenna mismatches. Simulation results allow ...

The authors consider the impact of a small but nonzero bandwidth on narrowband direction-of-arrival (DOA) estimation using an array of sensors. They derive expressions for the DOA error for three commonly used array processing algorithms: MUSIC, ESPRIT and weighted subspace fitting (WSF). The error expressions are found by a perturbation analysis of these algorithms for small relative bandwidth...

In various communications-based adaptive array applications, the directions of arrival (DOAs) of the desired user signal are sparsely separated. As such, the desired beam-pattern has a sparse structure. We propose an NLMS based adaptive algorithm which exploits this sparse DOA structure and provides significantly improved convergence speeds.

In this paper, an antenna-mode-switch technique is proposed to reduce the array size for the DOA (direction-of-arrival) estimation. Conventional DOA estimation requires many elements of antenna array to achieve high resolution, and then suffers from large array size. To improve such disadvantages, this paper proposes an antenna-mode-switch technique to reduce the required number of array elemen...

In many two-dimensional Direction of Arrival estimation approaches for Coherently distributed source, the computational complexity induced by high-dimensional peakfinding searching is normally highly demanding. We propose a low-complexity estimation algorithm by using the approximation to the steering to vector for small angular extensions, which estimates the nominal DOA using the phase inform...

ETRI Journal, Volume 31, Number 6, December 2009 ABSTRACT⎯A new computationally efficient algorithmbased propagator method for two-dimensional (2-D) directionof-arrival (DOA) estimation is proposed, which uses two parallel uniform linear arrays. The algorithm takes advantage of the special structure of the array which enables 2-D DOA estimation without pair matching. Simulation results show tha...

In automotive radar systems, only a small number of snapshots are available for direction-of-arrival (DOA) estimation in high mobility scenarios. We here propose a closed-form singlesnapshot maximum likelihood (ML) DOA estimator based on the phase-comparison technique. The estimator can be effective in a wide field-of-view (FOV) scenario and is robust to gain-mismatch effects among antenna elem...

We briefly introduce the conditional and unconditional estimation models for estimating the direction of arrivals (DoA) in array processing. The key differences are explained and the performance of the maximum likelihood estimate under these two models is discussed. In depth discussion and references can be found in [1]. It is also noted that these two models are not just limited to DoA estimat...

Direction of arrival (DOA) estimation is a sparse reconstruction problem. However, conventional orthogonal matching pursuit (OMP) may fail to identify the correct atoms since the redundant dictionary composed of the direction vectors is highly coherent. To mitigate the coherence problem, in this paper, we propose a modified OMP by constructing data dependent sensing dictionary for sparse recons...