{"title":"Null-space of block convolution matrix","authors":"T. Gopi Krishna, Istdeo Singh, K. Giridhar","doi":"10.1109/NCC.2013.6487951","DOIUrl":null,"url":null,"abstract":"A novel, efficient, non-iterative algorithm to find the null-space of the block convolution matrix which gives rise to a particular block banded block Toeplitz matrix (BBTM) is developed. This BBTM structure arises in the context of a multiple input multiple output (MIMO) (Nr receivers and Nt transmitters) orthogonal frequency division multiplexing (OFDM) model where the effective L taps channel impulse response length is to be shortened using a N tap channel shortening prefilter. This computationally efficient algorithm to find the null-space is derived from standard Gaussian elimination and exploits the structure of the MIMO-OFDM channel matrix. When compared to standard Gaussian elimination with partial pivoting which has a complexity of O(N3) for a L-tap channel the proposed algorithm has a run-time complexity of only O(N).","PeriodicalId":202526,"journal":{"name":"2013 National Conference on Communications (NCC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 National Conference on Communications (NCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NCC.2013.6487951","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A novel, efficient, non-iterative algorithm to find the null-space of the block convolution matrix which gives rise to a particular block banded block Toeplitz matrix (BBTM) is developed. This BBTM structure arises in the context of a multiple input multiple output (MIMO) (Nr receivers and Nt transmitters) orthogonal frequency division multiplexing (OFDM) model where the effective L taps channel impulse response length is to be shortened using a N tap channel shortening prefilter. This computationally efficient algorithm to find the null-space is derived from standard Gaussian elimination and exploits the structure of the MIMO-OFDM channel matrix. When compared to standard Gaussian elimination with partial pivoting which has a complexity of O(N3) for a L-tap channel the proposed algorithm has a run-time complexity of only O(N).