Direction of arrival estimation using ESPRIT with mutual coupling compenstion - Science, Measurement and Technology, IEE Proceedings-
نویسندگان
چکیده
The performance of ESPRIT in direction of arrival estimation at linear array monopole antennas operating at 2.4GHz is investigated. The mutual coupling that occurs between elements of the array is compensated for by using two techniques. The first technique is the open-circuit voltage method and the second method involves redefining the mutual impedance so that it can characterise the mutual coupling effect. The calculation of the redefined mutual impedance is based on an estimate at the current distribution. The redefined mutual impedance is more accurate than the conventional mutual impedance in quantifying the mutual coupling. Simulation results show that the second compensation approach gives a much more accurate estimation of the directions of arrival than the open circuit voltage compensation approach when two signals are placed close together.
منابع مشابه
Biologically Inspired Four Elements Compact Antenna Arrays With Enhanced Sensitivity for Direction of Arrival Estimation
A new four elements compact antenna array is presented and discussed to achieve enhanced phase resolution without sacrificing the array output power. This structure inspired by the Ormia Ochracea’s coupled ears. The analogy between this insect acute directional hearing capabilities and the electrically compact antenna array is used to enhance the array sensitivity to direction of arrival estima...
متن کاملDirection finding with a single spatially stretched vector sensor in the presence of mutual coupling
This paper is concerned with DOA estimation using a single-electromagnetic vector sensor in the presence of mutual coupling. Firstly, we apply the temporally smoothing technique to improve the identifiability limit of a single-vector sensor. In particular, we establish sufficient conditions for constructing temporally smoothed matrices to resolve K > 2 incompletely polarized (IP) monochromatic ...
متن کاملESPRIT-Like Two-Dimensional DOA Estimation for Monostatic MIMO Radar with Electromagnetic Vector Received Sensors under the Condition of Gain and Phase Uncertainties and Mutual Coupling
In this paper, we focus on the problem of two-dimensional direction of arrival (2D-DOA) estimation for monostatic MIMO Radar with electromagnetic vector received sensors (MIMO-EMVSs) under the condition of gain and phase uncertainties (GPU) and mutual coupling (MC). GPU would spoil the invariance property of the EMVSs in MIMO-EMVSs, thus the effective ESPRIT algorithm unable to be used directly...
متن کاملNoncircular Sources-Based Sparse Representation Algorithm for Direction of Arrival Estimation in MIMO Radar with Mutual Coupling
In this paper, a reweighted sparse representation algorithm based on noncircular sources is proposed, and the problem of the direction of arrival (DOA) estimation for multiple-input multiple-output (MIMO) radar with mutual coupling is addressed. Making full use of the special structure of banded symmetric Toeplitz mutual coupling matrices (MCM), the proposed algorithm firstly eliminates the eff...
متن کاملSparse Bayesian Learning for DOA Estimation with Mutual Coupling
Sparse Bayesian learning (SBL) has given renewed interest to the problem of direction-of-arrival (DOA) estimation. It is generally assumed that the measurement matrix in SBL is precisely known. Unfortunately, this assumption may be invalid in practice due to the imperfect manifold caused by unknown or misspecified mutual coupling. This paper describes a modified SBL method for joint estimation ...
متن کامل