Conference proceeding
Optimal non-coherent data detection for massive SIMO wireless systems: A polynomial complexity solution
2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE), pp.172-177
08/2015
DOI: 10.1109/DSP-SPE.2015.7369548
Abstract
This paper considers the joint maximum likelihood (ML) channel estimation and data detection problem for massive SIMO (single input multiple output) wireless systems. We propose efficient algorithms achieving the exact ML non-coherent data detection, for both constant-modulus constellations and nonconstant-modulus constellations. Despite a large number of unknown channel coefficients in massive SIMO systems, we show that the expected computational complexity is linear in the number of receive antennas and polynomial in channel coherence time. To the best of our knowledge, our algorithms are the first efficient algorithms to achieve the exact joint ML channel estimation and data detection performance for massive SIMO systems with general constellations. Simulation results show our algorithms achieve considerable performance gains at a low computational complexity.
Details
- Title: Subtitle
- Optimal non-coherent data detection for massive SIMO wireless systems: A polynomial complexity solution
- Creators
- Haider Ali Jasim Alshamary - University of IowaTareq Al-Naffouri - King Abdullah Univ. of Sci. & Technol., Thuwal, Saudi ArabiaAlam Zaib - King Abdullah University of Science and TechnologyWeiyu Xu - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- 2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE), pp.172-177
- DOI
- 10.1109/DSP-SPE.2015.7369548
- Publisher
- IEEE
- Language
- English
- Date published
- 08/2015
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197314402771
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