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In the proposed scheme, we show that the estimation of the users' overall channels in the direct sequence code division multiple access system is equivalent to the impulse response estimation of the multi\u2010input multi\u2010output finite impulse response channels. Our proposed approach is based on the successive estimation of the columns of the equivalent multi\u2010input multi\u2010output finite impulse response channels from the lowest degree columns to the highest degree ones. Accordingly, each user's overall channel that is the convolution of the original multipath channel and the spreading sequence is estimated. Then we extract PN sequences from the overall channel using finite alphabet characteristics of the spreading sequence chips for each user. According to simulation results, our proposed scheme outperforms the conventional methods in that it does not require symbol synchronization and does not have channel constraints (for example, AWGN and single user system) in the multipath channels.<\/jats:p>","DOI":"10.1002\/dac.3591","type":"journal-article","created":{"date-parts":[[2018,5,29]],"date-time":"2018-05-29T22:05:35Z","timestamp":1527631535000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["PN sequence blind estimation in multiuser DS\u2010CDMA systems with multipath channels based on successive subspace scheme"],"prefix":"10.1002","volume":"31","author":[{"given":"Hossein","family":"Mirzadeh Sarcheshmeh","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering Malek Ashtar University of Technology Tehran 15875\u20101774 Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9458-8287","authenticated-orcid":false,"given":"Hossein","family":"Khaleghi Bizaki","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering Malek Ashtar University of Technology Tehran 15875\u20101774 Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sajjad","family":"Alizadeh","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering Yazd University Yazd 89195\u2010741 Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2018,5,29]]},"reference":[{"key":"e_1_2_7_2_1","volume-title":"Electronic Warfare for the Digitised Battlefield","author":"Frater MR","year":"2001"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2011.09.009"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/78.575697"},{"key":"e_1_2_7_5_1","doi-asserted-by":"crossref","unstructured":"BattyK AdamsER \u201cDetection and blind identification of m\u2010sequence codes using higher\u2010order statistics\u201d Proceedings of the IEEE Signal Processing Workshop 1999:16\u201020.","DOI":"10.1109\/HOST.1999.778683"},{"key":"e_1_2_7_6_1","unstructured":"E.R.Adams \u201cIdentification of pseudo\u2010random sequences in DS\/SS intercepts by higher\u2010order statistics\u201d 2004."},{"issue":"11","key":"e_1_2_7_7_1","first-page":"1273","article-title":"Blind estimation of pseudo\u2010random codes in periodic long code direct sequence spread spectrum signals","volume":"10","author":"Gu X","year":"2016","journal-title":"IET Proc Signal Process"},{"key":"e_1_2_7_8_1","doi-asserted-by":"crossref","unstructured":"HillPCJ RidleyME \u201cBlind estimation of directsequence spread spectrum m\u2010sequence chip codes\u201d Proc Int Symp Spread Spectrum Techniques and Applications New Jersey USA September2000 pp.305\u2013309.","DOI":"10.1109\/ISSSTA.2000.878134"},{"key":"e_1_2_7_9_1","unstructured":"TianqC XiaokangL ZhengzhongZ \u201cA neural network approach to blind estimation of PN spreading in low SNR DS\/SS signals \u201d Proc. 6th International Conference of Signal Processing ICSP 2004."},{"key":"e_1_2_7_10_1","doi-asserted-by":"crossref","unstructured":"HaoC WeiG JingdongY \u201cDSSS signal parameter detection and PN sequence estimation base on SOFM neural network \u201d PROC Intertional Conference on ITS Telecommunications 2006.","DOI":"10.1109\/ITST.2006.288880"},{"key":"e_1_2_7_11_1","unstructured":"AsghariVR ArdebilipourM \u201cSpread spectrum code estimation by particle swarm algorithm\u201d Porc. 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