Partial regularisation approach for detection problems in underdetermined linear systems.
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| Title: | Partial regularisation approach for detection problems in underdetermined linear systems. |
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| Authors: | Chang, X. -W., Yang, X., Le-Ngoc, T., Wang, P. |
| Source: | IET Communications (Institution of Engineering & Technology); Jan2009, Vol. 3 Issue 1, p17-24, 8p, 8 Graphs |
| Subject Terms: | TELECOMMUNICATION systems, LEAST squares, ALGORITHMS, BIVECTORS, COMMUNICATION |
| Abstract: | The maximum likelihood detection problem in many underdetermined linear communications systems can be described as an underdetermined integer least squares (ILS) problem. To solve it efficiently, a partial regularisation approach is proposed. The original underdetermined ILS problem is first transformed to an equivalent overdetermined ILS problem by using part of the transmit vector to do the regularisation. Then the overdetermined ILS problem is solved by conventional sphere decoding algorithms. Simulation results indicate that this approach can be much more efficient than other approaches for any square constellation higher than 4QAM. [ABSTRACT FROM AUTHOR] |
| Copyright of IET Communications (Institution of Engineering & Technology) is the property of Institution of Engineering & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
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