• DocumentCode
    3310355
  • Title

    Linear computational complexity decoding for semi orthogonal full rate space time codes

  • Author

    Laufer, Amir ; Bar-Ness, Yeheskel

  • Author_Institution
    Center of Wireless Commun. & Signal Process. Res., New Jersey Inst. of Technol., Newark, NJ, USA
  • fYear
    2011
  • fDate
    28-31 March 2011
  • Firstpage
    1534
  • Lastpage
    1539
  • Abstract
    Communication with low complexity decoding is an important attribute for many applications. From low cost, distributed sensors arrays with desirably long operative life to ultra smart handheld battery operated devices, low complexity decoding results in better power consumption and simpler hardware implementation. In this paper a linear decoding complexity is applied and analyzed to the semi-orthogonal space time codes which are rate 1 codes originated from a regular orthogonal space time codes. The proposed transmission and decoding schemes are very appealing in the sense that they improve the code rate of the orthogonal codes family, yet, maintain its simple, symbol by symbol decoding with no filter calculation complexity overhead. In addition, a performance boosting modifications are suggested and investigated for the basic transmission and decoding schemes under different system settings such as the availability of limited feedback and multiple receiving antennas.
  • Keywords
    antennas; computational complexity; orthogonal codes; space-time codes; wireless sensor networks; distributed sensors array; limited feedback; linear computational complexity decoding; multiple receiving antenna; performance boosting modification; semi orthogonal full rate space time code; smart handheld battery operated device; Complexity theory; Maximum likelihood decoding; Receiving antennas; Signal to noise ratio; Transmitters; Decoding Complexity; Diversity; Full rate; Space time codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2011 IEEE
  • Conference_Location
    Cancun, Quintana Roo
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-61284-255-4
  • Type

    conf

  • DOI
    10.1109/WCNC.2011.5779358
  • Filename
    5779358