Performance Analysis of Existing Direction of Arrival Algorithms for Various Mobile Sources and Antenna Elements
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Abstract
In today's world, the number of mobile users is increasing day by day, and with limited capacity, there is a need for intelligent techniques that can provide the same Quality of Service (QOS) across mobile users. In this paper, existing methods, namely Bartlett Method, Maximum Likelihood, and MUSIC (Multiple Signal Classification) Method, are described and simulated for various combinations of antenna elements and mobile separation configurations.
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References
Laxmikanth, P., Surendra, Mr. L., Venkata Ratnam, Dr. D., Susrutha babu, S., & Suparshya babu. (2015). Enhancing the performance of AOA estimation in wireless communication using the MUSIC algorithm. SPACES-2015, Dept of ECE, K L UNIVERSITY.
Vesa, A., & lozsa, A. (2010). Direction of Arrival estimation for uniform sensor arrays. Electronics and Telecommunications (ISETC), 9th International Symposium on Electronics and Telecommunications.
Ma, W. K., Hseih, T. H., & Chi, C. Y. (2009). DOA estimation of quasi-stationary signals via Khatri-Rao subspace. IEEE International Conference on Acoustics, Speech and Signal Processing.
Wu, Y. I., Arada, G. P., & Wong, K. T. (2009). Electromagnetic coupling matrix modeling and ESPRIT-based direction finding –A case study using a uniform linear array of identical dipoles. IEEE International Conference on Acoustics, Speech and Signal Processing.
Van Trees, H. L. (2002). Optimum Array Processing – Part IV of Detection, Estimation and Modulation Theory. Wiley-Interscience.
Vu, D. T., Renaux, A., Boyer, R., & Marcos, S. (2014). Some results on the Weiss–Weinstein bound for conditional and unconditional signal models in array processing. Elsevier Signal Processing, 95(0), 126–148.
Renaux, A., Forster, P., Larzabal, P., Richmond, C. D., & Nehorai, A. (2008). A fresh look at the Bayesian bounds of the Weiss-Weinstein family. IEEE Transactions on Signal Processing, 56(11), 5334–5352.
Stoica, P., & Ng, B. (1998). On the Cramer-Rao bound under parametric constraints. IEEE Signal Processing Letters, 5(7), 177–179.
Moore Jr., T. J. (2010). A theory of Cramer-Rao bounds for constrained parametric model (Doctoral dissertation). University of Maryland, College Park, Department of Mathematics, College Park, Maryland, USA.
Li, Y. H., & Yeh, P. C. (2012). An interpretation of the Moore-Penrose generalized inverse of a singular Fisher information matrix. IEEE Transactions on Signal Processing, 60(10), 5532–5536.
Römer, F., & Haardt, M. (2007). Deterministic Cramer-Rao bounds for strict sense non-circular sources. In International ITG/IEEE Workshop on Smart Antennas (WSA).
Schulz, D., & Thomä, R. S. (2013). Search-based MUSIC techniques for 2D DoA estimation using EADF and real antenna arrays. 17th International ITG Workshop on Smart Antennas 2013 (WSA 2013), Stuttgart, Germany.
Landmann, M. (2007). Limitations of experimental channel characterisation (Ph.D. dissertation). Ilmenau University of Technology, Electronic Measurement Research Laboratory, Ilmenau, Germany.
Landmann, M., Käske, M., & Thomä, R. (2012). Impact of incomplete and inaccurate data models on high resolution parameter estimation in multidimensional channel sounding. IEEE Transactions on Antennas and Propagation, 60(2), 557–573.
Landmann, M., Richter, A., & Thomä, R. (2004). DoA resolution limits in MIMO channel sounding. IEEE Antennas and Propagation Society International Symposium, 2, 1708–1711.
Tian, Y., & Takane, Y. (2009). More on generalized inverses of partitioned matrices with Banachiewicz-Schur forms. Linear Algebra and its Applications, 7430(5–6), 1641–1655.
Foutz, J., Spanias, A., & Banavar, M. K. (2008). Narrowband direction of arrival estimation for antenna arrays. Synthesis Lectures on Antennas, 3(1), 1–76.
Lau, C. K. E., Adve, R. S., & Sarkar, T. K. (2002). Combined CDMA and matrix pencil direction of arrival estimation. Vehicular Technology Conference, 2002. Proceedings. VTC 2002-Fall. 2002 IEEE 56th, 1, 496–499.
Marot, J., Fossati, C., & Bourennane, S. (2008). Fast subspace-based source localization methods. Sensor Array and Multichannel Signal Processing Workshop, 2008. SAM 2008. 5th IEEE, 203–206.
Khmou, Y., & Safi, S. (2014). DOA estimation with fourth-order propagator. Multimedia Computing and Systems (ICMCS), 2014 International Conference on, 1295–1300.