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A novel vectorized method for the estimation of direction of arrival (DOA) and frequency of arrival (FOA) is presented in this paper for the uniform linear array (ULA). Firstly, a vectorized data form is employed to estimate the DOAs and FOAs at the same time. Then, based on the subspace methodology, the DOAs and FOAs can be matched quickly. By using orthogonal projection, the accuracy of the parameters...
A subspace decomposition based algorithm for joint frequency of arrival (FOA) and direction of arrival (DOA) estimation is presented in this paper. The proposed method termed as QR-TLS ESPRIT, estimates the signal subspace by decomposing the received signal in a specially formed Toeplitz matrix. The structure of the matrix favors the application of QR factorization, which yields the signal subspace...
In this paper, the Weighted Subspace Fitting (WSF) method using Artificial Bee Colony (ABC) algorithm is applied to the problem of estimating the direction-of-arrival (DOA) and the Doppler frequency of multiple signal sources impinging on an antenna array simultaneously. The extended observability matrix containing the angle and frequency parameters is established using state-space model. The WSF...
It is well-known that filtering methods can be used for processing of signals in both time and space. This comprises, for example, fundamental frequency estimation and direction-of-arrival (DOA) estimation. In this paper, we propose two novel 2-D filtering methods for joint estimation of the fundamental frequency and the DOA of spatio-temporarily sampled periodic signals. The first and simplest method...
High-resolution parameter estimation techniques have recently been applied to jointly estimate multiple signal parameters. In this paper, we consider the joint frequency and 2-D DOA estimation problem. We define a novel space-time matrix which includes the information of incident frequencies and 2-D DOAs. The joint frequency and 2-D DOA estimation method used the defined space-time matrix is named...
Multi-resolution ESPRIT is an extension of the ESPRIT direction finding algorithm to antenna arrays with multiple baselines. A short (half wavelength) baseline is necessary to avoid aliasing, and a long baseline is preferred for accuracy. The MR-ESPRIT algorithm allows the combination of both estimates. The ratio of the longest baseline to the shortest one is a measure of the gain in accuracy. Because...
ESPRIT is a high-resolution parameter estimation techniques based on the translational invariance structure of a sensor array, which has recently been applied to the problem of determining the directions and center frequencies of a number of narrowband sources in a band of interest. Here, we present a simple and efficient method for the joint angle-frequency estimation (JAFE), named as unitary-JAFE...
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