Interpolation-Based QR Decomposition and Channel Estimation Processor for MIMO-OFDM System

Po-Lin Chiu, Lin-Zheng Huang, Li-Wei Chai, Yuan-Hao Huang
<span title="">2011</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/l6r6h4xpzvh6jkuzrx565pgwgu" style="color: black;">IEEE Transactions on Circuits and Systems Part 1: Regular Papers</a> </i> &nbsp;
This paper presents a modified interpolation-based QR decomposition algorithm for the grouped-ordering multipleinput multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. Based on the original research that integrates the calculations of the frequency-domain channel estimation and the QR decomposition for the MIMO-OFDM system, this study proposes a modified algorithm that possesses a scalable property to save the power consumption for interpolation-based QR
more &raquo; ... ion in the variable-rank MIMO scheme. Furthermore, we also develop the general equations and a timing scheduling method for the hardware design of the proposed QR decomposition processor for the higher-dimension MIMO system. Based on the proposed algorithm, a configurable interpolation-based QR decomposition and channel estimation processor was designed and implemented using a 90-nm one-poly nine-metal CMOS technology. The processor supports 2 2, 2 4 and 4 4 QR-based MIMO detection for the 3GPP-LTE MIMO-OFDM system and achieves the throughput of 35.16 MQRD/s at its maximum clock rate 140.65 MHz. Index Terms-Interpolation, multiple-input multiple-output (MIMO), QR decomposition (QRD).
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tcsi.2010.2092090">doi:10.1109/tcsi.2010.2092090</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3akjllo2dngq3eto2woh7bmus4">fatcat:3akjllo2dngq3eto2woh7bmus4</a> </span>
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