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Eigencombining: A Unified Approach to Antenna Array Signal Processing

Eigencombining: A Unified Approach to Antenna Array Signal Processing

Constantin Siriteanu, Steven D. Blostein
Copyright: © 2009 |Pages: 32
ISBN13: 9781599049885|ISBN10: 1599049880|ISBN13 Softcover: 9781616927479|EISBN13: 9781599049892
DOI: 10.4018/978-1-59904-988-5.ch001
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MLA

Siriteanu, Constantin, and Steven D. Blostein. "Eigencombining: A Unified Approach to Antenna Array Signal Processing." Handbook on Advancements in Smart Antenna Technologies for Wireless Networks, edited by Chen Sun, et al., IGI Global, 2009, pp. 1-32. https://doi.org/10.4018/978-1-59904-988-5.ch001

APA

Siriteanu, C. & Blostein, S. D. (2009). Eigencombining: A Unified Approach to Antenna Array Signal Processing. In C. Sun, J. Cheng, & T. Ohira (Eds.), Handbook on Advancements in Smart Antenna Technologies for Wireless Networks (pp. 1-32). IGI Global. https://doi.org/10.4018/978-1-59904-988-5.ch001

Chicago

Siriteanu, Constantin, and Steven D. Blostein. "Eigencombining: A Unified Approach to Antenna Array Signal Processing." In Handbook on Advancements in Smart Antenna Technologies for Wireless Networks, edited by Chen Sun, Jun Cheng, and Takashi Ohira, 1-32. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-59904-988-5.ch001

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Abstract

This chapter unifies the principles and analyses of conventional signal processing algorithms for receive-side smart antennas, and compares their performance and numerical complexity. The chapter starts with a brief look at the traditional single-antenna optimum symbol-detector, continues with analyses of conventional smart antenna algorithms, i.e., statistical beamforming (BF) and maximal-ratio combining (MRC), and culminates with an assessment of their recently proposed superset known as eigencombining or eigenbeamforming. BF or MRC performance fluctuates with changing propagation conditions, although their numerical complexity remains constant. Maximal-ratio eigencombining (MREC) has been devised to achieve best (i.e., near-MRC) performance for complexity that matches the actual channel conditions. The authors derive MREC outage probability and average error probability expressions applicable for any correlation. Particular cases apply to BF and MRC. These tools and numerical complexity assessments help demonstrate the advantages of MREC versus BF or MRC in realistic scenarios.

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