Conventional ESPRIT Algorithm Research Articles

Angular Parameter Estimation of Coherently Distributed Noncircular Source Using ESPRIT Algorithm

In this paper, a low complexity ESPRIT algorithm for coherently distributed noncircular source is proposed. Due to the utilization of noncircular source, the proposed algorithm derives both the received signal and its conjugate to obtain the extended received data matrix and covariance matrix. When compared to the conventional ESPRIT algorithm, the algorithm considering noncircular properties can provide more accurate estimation performance. Numerical simulation results verifies the validity and reliability of the proposed algorithm.

Joint 2D-DOA and Frequency Estimation for L-Shaped Array Using Iterative Least Squares Method

We introduce an iterative least squares method (ILS) for estimating the 2D-DOA and frequency based on L-shaped array. The ILS iteratively finds direction matrix and delay matrix, then 2D-DOA and frequency can be obtained by the least squares method. Without spectral peak searching and pairing, this algorithm works well and pairs the parameters automatically. Moreover, our algorithm has better performance than conventional ESPRIT algorithm and propagator method. The useful behavior of the proposed algorithm is verified by simulations.

Modified ESPRIT (M-ESPRIT) algorithm for time delay estimation in both any noise and any radar pulse context by a GPR radar

This paper presents M-ESPRIT, a modified version of the ESPRIT algorithm, for the purpose of time delay estimation of backscattered radar signals. The proposed algorithm takes both the transmitted pulse shape and any noise into account. It can process raw data from experimental device without the preprocessing which would be required with the conventional ESPRIT algorithm.

Improved Blind 2D-Direction of Arrival Estimation with L-Shaped Array Using Shift Invariance Property

In this paper, we address the problem of bind 2D Direction Of Arrival (DOA) estimation with L-shaped array. Based on shift invariance property, an improved method for estimating 2D DOA is presented. The algorithm uses the array geometries to construct a matrix and then obtain the required signal subspace via the eigen decomposition of the constructed matrix. This algorithm works well without spectral peak searching. Our algorithm has much better 2D-DOA estimation performance than conventional ESPRIT algorithm, and it can identify more DOAs than conventional ESPRIT algorithm.