{"id":151738,"date":"2004-09-01T00:00:00","date_gmt":"2004-09-01T00:00:00","guid":{"rendered":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/msr-research-item\/reduced-complexity-ml-multi-user-detection-for-dispersive-uwb-signal-based-on-combined-stack-and-viterbi-trellis-search\/"},"modified":"2018-10-16T21:36:55","modified_gmt":"2018-10-17T04:36:55","slug":"reduced-complexity-ml-multi-user-detection-for-dispersive-uwb-signal-based-on-combined-stack-and-viterbi-trellis-search","status":"publish","type":"msr-research-item","link":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/publication\/reduced-complexity-ml-multi-user-detection-for-dispersive-uwb-signal-based-on-combined-stack-and-viterbi-trellis-search\/","title":{"rendered":"Reduced-Complexity ML Multi-User Detection for Dispersive UWB Signal Based on Combined Stack and Viterbi Trellis Search"},"content":{"rendered":"<p>We propose a novel reduced-complexity maximum-likelihood (ML) detector for multi-user impulse radio ultra-wideband (UWB) signals in multi-path channels. By utilizing the unique trellis feature of a multi-user impulse radio UWB signal, and introducing a novel combined stack and Viterbi based trellis search (CSVS) algorithm, the proposed detector is optimal and enjoys much lower computation complexity compared with the brute-force search based ML detector. Simulation results show that the proposed detector achieves much better performance than the conventional simple matched filter UWB detector.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We propose a novel reduced-complexity maximum-likelihood (ML) detector for multi-user impulse radio ultra-wideband (UWB) signals in multi-path channels. By utilizing the unique trellis feature of a multi-user impulse radio UWB signal, and introducing a novel combined stack and Viterbi based trellis search (CSVS) algorithm, the proposed detector is optimal and enjoys much lower computation complexity [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"Institute of Electrical and Electronics Engineers, Inc.","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"\u00a9 2004 IEEE. Personal use of this material is permitted. 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