eprintid: 194 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/00/01/94 datestamp: 2023-11-09 15:15:49 lastmod: 2023-11-09 15:15:49 status_changed: 2023-11-09 15:13:31 type: conference_item metadata_visibility: show creators_name: Min, Y.K. creators_name: Jeoti, V. title: PAPR analysis of precoding-based OFDM systems ispublished: pub keywords: Average power ratios; OFDM; OFDM signals; OFDM systems; PAPR; Papr reductions; Precoders; Precoding; Probability density function (PDF); Statistical properties, Frequency allocation; Frequency division multiplexing; Functions; Orthogonal frequency division multiplexing; Probability; Probability distributions; Random processes; Telecommunication systems; Wireless telecommunication systems, Probability density function note: cited By 5; Conference of 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007 ; Conference Date: 25 November 2007 Through 28 November 2007; Conference Code:74506 abstract: In this paper, we present our study on the Peak-to-Average Power Ratio (PAPR) of precoding-based Orthogonal Frequency Division Multiplexing (OFDM) systems. We analyze the probability density functions of various types of precoded OFDM signals. Then we show that the precoders can change the statistical properties of OFDM signals and hence the distribution of PAPR. We further compare the PAPR reduction performance of the precoded OFDM systems and show that these systems can have PAPR up to 4.5 dB lower than the conventional OFDM system. ©2007 IEEE. date: 2007 official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-57949083854&doi=10.1109%2fICIAS.2007.4658429&partnerID=40&md5=09ea0fcd243f43515c2016fb5ee2e0cb id_number: 10.1109/ICIAS.2007.4658429 full_text_status: none publication: 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007 place_of_pub: Kuala Lumpur pagerange: 457-461 refereed: TRUE isbn: 1424413559; 9781424413553 citation: Min, Y.K. and Jeoti, V. (2007) PAPR analysis of precoding-based OFDM systems. In: UNSPECIFIED.