Abstract
An efficient hardware implementation scheme is proposed for iterative multi-input-multi-output orthogonal frequency division multiplexing receiver which includes an MMSE-IC (minimum-mean-square error interference cancellation) detector, a channel estimator, a low-density parity-check (LDPC) decoder and other supporting modules. The proposed implementation uses the QR decomposition (QRD) of the complex-valued matrices with four coordinate rotation digital computer (CORDIC) cores and a back substitution to solve the MMSE-IC equations while the existing systolic array architectures require 15-38 CORDIC cores to achieve a similar throughput. The proposed 4-CORDIC QRD architecture can be configured as a 16-matrix or a 64-matrix pipelining by using a different number of multipliers combined with one-dimensional (1D) or 2D arrays of the back substitution, respectively. The channel estimator implements a commonly used frequency domain least squares channel estimation with the canonic-signed-digits method, thanks to the character of the Zadroff-Chu sequence used as the pilot. In the LDPC decoder, the min-sum algorithm is implemented for the Quasi cyclic LDPC decoding. The two schemes for the MMSE-IC detector with different throughput and resource usages have been implemented in a Field Programmable Gate Array for a complete baseband turbo receiver. Their resource usages, throughputs and latencies are compared with the classic systolic array architectures, which demonstrate that the proposed receiver architecture achieves the best tradeoff between the throughput and the resource usage. © The Institution of Engineering and Technology 2014.
Recommended Citation
B. Han et al., "Efficient Implementation of Iterative Multi-input-multi-output Orthogonal Frequency-division Multiplexing Receiver using Minimum-mean-square Error Interference Cancellation," IET Communications, vol. 8, no. 7, pp. 990 - 999, Wiley Open Access; Institution of Engineering and Technology (IET), Jan 2014.
The definitive version is available at https://doi.org/10.1049/iet-com.2013.0694
Department(s)
Electrical and Computer Engineering
Publication Status
Free Access
International Standard Serial Number (ISSN)
1751-8628
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2024 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Jan 2014
