{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:29:20Z","timestamp":1777703360421,"version":"3.51.4"},"reference-count":16,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2019,6,10]],"date-time":"2019-06-10T00:00:00Z","timestamp":1560124800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2019,7,9]]},"abstract":"<jats:p>In modern communication, MIMO technology appeared to be one of the important technologies. System capacity and service quality are enhanced by using this technology. The mission of both channel and data estimation based on the principle of maximum likelihood is achieved by means of continuous and discrete TOMPSO algorithm over Rayleigh Fading Channel. The algorithm has three levels. At the first stage, channel and data populations are prepared. The continuous TOMPSO is using to estimate channel parameters at the second stage. Once the channel is estimated, it is used at stage 3 along with discrete TOMPSO to estimate transmitted symbols. It is observed that due to included total opposite based learning of swarmand velocity factor the TOMPSO gives a fast convergence rate and attractive results in terms of MMSE and MMCE.<\/jats:p>","DOI":"10.3233\/jifs-181127","type":"journal-article","created":{"date-parts":[[2019,6,11]],"date-time":"2019-06-11T11:54:30Z","timestamp":1560254070000},"page":"687-692","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":20,"title":["CDE using improved opposite based swarm optimization for MIMO systems"],"prefix":"10.1177","volume":"37","author":[{"given":"Muhammad Adnan","family":"Khan","sequence":"first","affiliation":[{"name":"Department of Computer Science, National College of Business Administration and Economics, Lahore, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Umair","sequence":"additional","affiliation":[{"name":"Faulty of Information Technology, University of Central Punjab, Lahore, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad Aamer","family":"Saleem","sequence":"additional","affiliation":[{"name":"Hamdard Institute of Engineering and Technology, Hamdard University, Islamabad Campus, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad Nadeem","family":"Ali","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Lahore Garrison University, Lahore, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sagheer","family":"Abbas","sequence":"additional","affiliation":[{"name":"Department of Computer Science, National College of Business Administration and Economics, Lahore, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,6,10]]},"reference":[{"issue":"5","key":"e_1_3_1_2_2","first-page":"33","article-title":"New Space Time coding for Joint Blind Channel Estimation and Data Detection through Time Varying MIMO Channels","volume":"11","author":"Abdelkader T.","year":"2014","unstructured":"AbdelkaderT., MokhtarK. and AbdelazizO., New Space Time coding for Joint Blind Channel Estimation and Data Detection through Time Varying MIMO Channels, International Journal of Computer Science Issues (IJCSI), 11(5) (2014), 33.","journal-title":"International Journal of Computer Science Issues"},{"key":"e_1_3_1_3_2","first-page":"5354","article-title":"Joint maximum likelihood channel estimation and data detection for MIMO systems. 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