Research Article Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing Fawad Zaman Department of Electrical Engineering, COMSATS Institute of Information Technology, Attock Campus, Punjab, Pakistan Correspondence should be addressed to Fawad Zaman; fawad@ciit-attock.edu.pk Received 28 July 2016; Revised 10 October 2016; Accepted 24 October 2016; Published 15 January 2017 Academic Editor: Donatella Darsena Copyright © 2017 Fawad Zaman. Tis 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. Te aim of this work is to estimate jointly the elevation and azimuth angles along with the amplitudes of multiple signals impinging on 1-L- and 2-L-shape arrays. An efcient mechanism based on hybrid Bioinspired techniques is proposed for this purpose. Te global search optimizers such as Diferential Evolution (DE) and Particle Swarm optimization (PSO) are hybridized with a local search optimizer called pattern search (PS). Approximation theory in Mean Square Error sense is exploited to develop a ftness function of the problem. Te unknown parameters of multiple signals transmitted by far-feld sources are estimated with the strength of hybrid DE-PS and PSO-PS. Te efectiveness of the proposed techniques is tested in terms of estimation accuracy, proximity efect, convergence, and computational complexity. 1. Introduction Parameter estimation such as Direction of Arrival (DOA) of electromagnetic signals for multiple sources is one of the vital areas of research in array signal processing from the last few decades. Te DOA estimation ensues in adaptive beamforming to place the nulls in the direction of jam- mers or unwanted signals, while placing the main beam in the desired direction [1–3]. Terefore, various schemes are investigated for DOA estimation in literature but mostly limited to one-dimensional (1D) DOA estimation of sources impinging on linear array [4–6]. Te 1D DOA estimation is comparatively straight forward because it only involves the angle of elevation as function of DOA. However, 2D DOA estimation is relatively complicated as it involves both elevation and azimuth angles [7–11]. 2D DOA estimation has engaged the interest of research community in the feld of radar, sonar, wireless communication systems, and so forth [12]. Te estimation failure, pair matching between elevation and azimuth angles, and computational complexity are the major problems observed in 2D DOA estimation. Te diferent array confgurations have been proposed to address the 2D DOA estimation problem [13–15] but lack the requisite resources to resolve the aforementioned problems. In [16], Propagator Method (PM) with parallel shape array is used to overcome the computational complexity of [15], but the estimation failure and pair matching problems still exist. In [17], the PM is applied with L-shape array to surmount the drawbacks of [16] but requires a large number of snapshots and sensors. In the present scientifc society era, the signifcance of Evolutionary Computing Techniques (ECT) that include Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Diferential Evolution (DE) cannot be vilipended. Tese techniques are not only easy to implement but also have the signifcant ability of hybridization with other heuristic and nonheuristic techniques. Terefore, the signifcance of these techniques is realized in diferent varying nature of applications [18–22]. In this paper, DE and PSO are hybridized with PS to jointly estimate the amplitude and 2D DOA of far-feld sources impinging on 1-L- and 2-L-shape arrays. In this hybridization process, DE and PSO act as global search optimizers, while PS is used as rapid local search optimizer. Te best individual results of DE and PSO are given to PS for further tuning. Te performance criterion is devised on the basis of Mean Square Error (MSE) that is applied as an objective evaluation function. Tis ftness function is Hindawi Wireless Communications and Mobile Computing Volume 2017, Article ID 9428196, 12 pages https://doi.org/10.1155/2017/9428196