Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection 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 |
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Springer US
2012
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| Online Access: | http://umpir.ump.edu.my/id/eprint/6429/ |
| _version_ | 1848817767383302144 |
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| author | Sabira, Khatun Ali K., Marzook Alyani, Ismail Aduwati, Sali Mohannad Hamed, Khalaf Borhan, M. Ali |
| author_facet | Sabira, Khatun Ali K., Marzook Alyani, Ismail Aduwati, Sali Mohannad Hamed, Khalaf Borhan, M. Ali |
| author_sort | Sabira, Khatun |
| building | UMP 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 | 2025-11-15T01:27:00Z |
| format | Article |
| id | ump-6429 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| last_indexed | 2025-11-15T01:27:00Z |
| publishDate | 2012 |
| publisher | Springer US |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-64292020-02-28T07:25:18Z http://umpir.ump.edu.my/id/eprint/6429/ Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection in TD-SCDMA Systems Sabira, Khatun Ali K., Marzook Alyani, Ismail Aduwati, Sali Mohannad Hamed, Khalaf Borhan, M. Ali QA76 Computer software 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. Springer US 2012 Article PeerReviewed Sabira, Khatun and Ali K., Marzook and Alyani, Ismail and Aduwati, Sali and Mohannad Hamed, Khalaf and Borhan, M. Ali (2012) Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection in TD-SCDMA Systems. Wireless Personal Communications, 69 (4). pp. 1629-1646. ISSN 0929-6212 (print); 1572-834X (online). (Published) http://dx.doi.org/10.1007/s11277-012-0655-x DOI: 10.1007/s11277-012-0655-x |
| spellingShingle | QA76 Computer software Sabira, Khatun Ali K., Marzook Alyani, Ismail Aduwati, Sali Mohannad Hamed, Khalaf Borhan, M. Ali Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection in TD-SCDMA Systems |
| title | Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection in TD-SCDMA Systems |
| title_full | Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection in TD-SCDMA Systems |
| title_fullStr | Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection in TD-SCDMA Systems |
| title_full_unstemmed | Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection in TD-SCDMA Systems |
| title_short | Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection in TD-SCDMA Systems |
| title_sort | reduced rank technique for joint channel estimation and joint data detection in td-scdma systems |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/6429/ http://umpir.ump.edu.my/id/eprint/6429/ http://umpir.ump.edu.my/id/eprint/6429/ |