Estimation of Directions of Arrival by Matching Pursuit (EDAMP)
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Estimation of Directions of Arrival by Matching Pursuit (EDAMP) ¨ ¸ Z. Karabulut Gunes School of Information Technology and Engineering, University of Ottawa, ON, Canada K1N 6N5 Email: [email protected]
Tolga Kurt School of Information Technology and Engineering, University of Ottawa, ON, Canada K1N 6N5 Email: [email protected]
˜ Abbas Yongac¸oglu School of Information Technology and Engineering, University of Ottawa, ON, Canada K1N 6N5 Email: [email protected] Received 30 April 2004; Revised 7 October 2004 We propose a novel system architecture that employs a matching pursuit-based basis selection algorithm for directions of arrival estimation. The proposed system does not require a priori knowledge of the number of angles to be resolved and uses very small number of snapshots for convergence. The performance of the algorithm is not affected by correlation in the input signals. The algorithm is compared with well-known directions of arrival estimation methods with different branch-SNR levels, correlation levels, and different angles of arrival separations. Keywords and phrases: directions of arrival estimation, adaptive antennas, matching pursuit algorithm, spatial resolution.
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INTRODUCTION
In recent years, the impact of adaptive antennas and array processing to the system performance of wireless communication systems has gained intense attention. Adaptive (or smart) antennas consist of an antenna array combined with space and time processing. The processing of different antennas helps to improve system performance in terms of both capacity and quality, in particular by decreasing cochannel interference. A detailed overview of adaptive antennas can be found in [1, 2]. One of the most important problems for adaptive antenna systems in order to perform well is to have reliable reference inputs. These references include array element positions and characteristics, directions of arrivals, planar properties and dimensionality of the incoming signals. In this paper we investigate one of the most critical problems of adaptive antenna systems, namely directions of arrival (DOA) estimation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
For an adaptive system to be effective, it must have very accurate estimations of the DOA for the signal and the interferers. Once the directions are estimated accurately then processing in spatial, time, or other domains can be accomplished in order to improve the system performance. There are many different approaches and algorithms for estimating DOA with various complexities and resolution properties such as ML [3], Bartlett [4], MVDR [1], MUSIC [5], and ESPRIT [6]. Variations to these models can also be found in the recent literature, some of which will be referred to in the following section. For estimation of DOA, we consider a high-resolution basis selection algorithm, the flexible tree-search-based
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