MSGR-based Low Latency Complex Matrix Inversion Architecture

L. Ma, K. Dickson, J. Mcallister, J. Mccanny

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

4 Citations (Scopus)


This paper presents a matrix inversion architecture based on the novel Modified Squared Givens Rotations (MSGR) algorithm, which extends the original SGR method to complex valued data, and also corrects erroneous results in the original SGR method when zeros occur on the diagonal of the matrix either initially or during processing. The MSGR algorithm also avoids complex dividers in the matrix inversion, thus minimising the complexity of potential real-time implementations. A systolic array architecture is implemented and FPGA synthesis results indicate a high-throughput low-latency complex matrix inversion solution. © 2008 IEEE.
Original languageEnglish
Title of host publicationInternational Conference on Signal Processing Proceedings, ICSP
Number of pages4
Publication statusPublished - Oct 2008

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing
  • Software


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