DESIGN OF HYBRID QRD ARCHITECTURE USING MIMO-OFDM SYSTEMS

Aakash.K, Manohar.G.M, Revathi.T, Sowmiya.T

Abstract: QR decomposition has been widely used in many signal processing applications to solve linear inverse problems. However, QR decomposition is considered a computationally expensive process, and its sequential implementations fail to meet the requirements of many time-sensitive applications. We propose a deeply pipelined reconfigurable architecture that can be dynamically configured to perform either approach in a manner that takes advantage of the strengths of each. At runtime, the input matrix is first partitioned into numerous sub matrices. This paper proposes a fully parallel VLSI architecture under fixedprecision for the inverse computation of a real square matrix using QR decomposition with Hybrid QRD Gram-Schmidt orthogonalization. The Hybrid QRD based on algorithm is stable and accurate to the integral multiples of machine precision under fixed-precision for a well-conditioned non-singular matrix. For typical matrices (4x4) found in MIMO communication systems, the proposed architecture was able to achieve a clock latency of 38 clocks.

Keywords: Architecture, FPGA, QR decomposition, Gram-Schmidt

DOI: https://doi.org/10.15623/ijret.2015.0403029