Reduced-rank technique for joint channel estimation in TD-SCDMA systems.
In time division-synchronous code division multiple access systems, the channel estimation for multiple subscribers requires the computation of very complicated algorithms through short training sequences. This situation causes mismodeling of the actual channels and introduces significant errors in...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
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2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/28443/ http://psasir.upm.edu.my/id/eprint/28443/1/Reduced.pdf |
| _version_ | 1848846118765461504 |
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| author | Ismail, Alyani Sali, Aduwati Mohd Ali, Borhanuddin Khatun, Sabira |
| author_facet | Ismail, Alyani Sali, Aduwati Mohd Ali, Borhanuddin Khatun, Sabira |
| author_sort | Ismail, Alyani |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In time division-synchronous code division multiple access systems, the channel estimation for multiple subscribers requires the computation of very complicated algorithms through short training sequences. This situation causes mismodeling of the actual channels and introduces significant errors in the detected data of multiple users. This paper presents a novel channel estimation method with low complexity, which relies on reducing the rank order of the total channel matrix H. We exploit the rank deficient of H to reduce the number of parameters that characterizes this matrix. The adopted reduced rank technique is based on singular value decomposition algorithm. Equations for reduced rank-joint channel estimation (JCE) are derived and compared against traditional full rank-joint channel estimators: least square (LS) or Steiner, enhanced LS, and minimum mean square error algorithms. Simulation results of the normalized mean square error for the above mentioned estimators showed the superiority of reduced rank estimators. Multi-user joint data detectors based linear equalizers are used to suppress inter-symbol interference and mitigate intra-cell multiple access interference. The detectors: zero forcing block linear equalizer and minimum mean square error block linear equalizer algorithms are considered in this paper to recover the data. The results of bit error rate simulation have shown that reduced rank-JCE based detectors have an improvement by 5 dB lower than other traditional full rank-JCE based detectors. |
| first_indexed | 2025-11-15T08:57:38Z |
| format | Article |
| id | upm-28443 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T08:57:38Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-284432015-09-22T02:39:15Z http://psasir.upm.edu.my/id/eprint/28443/ Reduced-rank technique for joint channel estimation in TD-SCDMA systems. Ismail, Alyani Sali, Aduwati Mohd Ali, Borhanuddin Khatun, Sabira In time division-synchronous code division multiple access systems, the channel estimation for multiple subscribers requires the computation of very complicated algorithms through short training sequences. This situation causes mismodeling of the actual channels and introduces significant errors in the detected data of multiple users. This paper presents a novel channel estimation method with low complexity, which relies on reducing the rank order of the total channel matrix H. We exploit the rank deficient of H to reduce the number of parameters that characterizes this matrix. The adopted reduced rank technique is based on singular value decomposition algorithm. Equations for reduced rank-joint channel estimation (JCE) are derived and compared against traditional full rank-joint channel estimators: least square (LS) or Steiner, enhanced LS, and minimum mean square error algorithms. Simulation results of the normalized mean square error for the above mentioned estimators showed the superiority of reduced rank estimators. Multi-user joint data detectors based linear equalizers are used to suppress inter-symbol interference and mitigate intra-cell multiple access interference. The detectors: zero forcing block linear equalizer and minimum mean square error block linear equalizer algorithms are considered in this paper to recover the data. The results of bit error rate simulation have shown that reduced rank-JCE based detectors have an improvement by 5 dB lower than other traditional full rank-JCE based detectors. 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28443/1/Reduced.pdf Ismail, Alyani and Sali, Aduwati and Mohd Ali, Borhanuddin and Khatun, Sabira (2013) Reduced-rank technique for joint channel estimation in TD-SCDMA systems. International Journal of Electronics, 100 (2). pp. 274-287. ISSN 0020-7217 10.1007/s11277-012-0655-x English |
| spellingShingle | Ismail, Alyani Sali, Aduwati Mohd Ali, Borhanuddin Khatun, Sabira Reduced-rank technique for joint channel estimation in TD-SCDMA systems. |
| title | Reduced-rank technique for joint channel estimation in TD-SCDMA systems. |
| title_full | Reduced-rank technique for joint channel estimation in TD-SCDMA systems. |
| title_fullStr | Reduced-rank technique for joint channel estimation in TD-SCDMA systems. |
| title_full_unstemmed | Reduced-rank technique for joint channel estimation in TD-SCDMA systems. |
| title_short | Reduced-rank technique for joint channel estimation in TD-SCDMA systems. |
| title_sort | reduced-rank technique for joint channel estimation in td-scdma systems. |
| url | http://psasir.upm.edu.my/id/eprint/28443/ http://psasir.upm.edu.my/id/eprint/28443/ http://psasir.upm.edu.my/id/eprint/28443/1/Reduced.pdf |