B. Muquet, M. de Courville, P. Duhamel, V. Buzenac
{"title":"A subspace based blind and semi-blind channel identification method for OFDM systems","authors":"B. Muquet, M. de Courville, P. Duhamel, V. Buzenac","doi":"10.1109/SPAWC.1999.783046","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783046","url":null,"abstract":"A new subspace method performing the blind and semi-blind identification of the transmission channel suited to multicarrier systems with cyclic prefix (OFDM) is proposed in this paper. This technique has the advantage to preserve the classical OFDM emitter structure based on a cyclic prefix insertion. Therefore it applies to all existing standardized multicarrier systems (DAB, ADSL, etc.) and does not prevent the use of the classical very simple equalization scheme. Moreover the method detailed provides an unbiased channel estimation and is robust to channel order overdetermination provided that the channel frequency response has no zeroes located on a subcarrier.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126702316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal design of DS-CDMA systems under multipath fading channel: array signal processing approach","authors":"J. Hung, Bor‐Sen Chen","doi":"10.1109/SPAWC.1999.783055","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783055","url":null,"abstract":"In this study, based on multirate technique, the detection problem of DS-CDMA systems is transformed to an equivalent signal of beamforming systems. In this situation, the channel plus spreading code in DS-CDMA systems is equivalent to a steering matrix in the signal processing of beamforming systems. Based on an optimum beamforming technique, an optimum detection design is proposed for DS-CDMA systems. Furthermore, stochastic processes model the time-varying tap coefficients of multipath fading channels. The channel parameter or steering matrix estimation algorithm is developed based on the Kalman state estimation method. Finally, an adaptive design for DS-CDMA systems is also discussed in this paper. Consistency of the proposed method is shown, and some illustrative simulations are presented.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128138566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Detection and blanking of GSM interference in radio-astronomical observations","authors":"Amir Leshem, A. van der Veen, E. Deprettere","doi":"10.1109/SPAWC.1999.783096","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783096","url":null,"abstract":"Radio-astronomical observations are increasingly disturbed by man-made communication signals, satellite and broadcast services. In particular, the GSM band is a highly saturated domain, full with interferers which are much stronger than radio astronomical signals. We propose a strategy to reduce this interference using its non-stationary nature. We describe a multichannel interference detector which enables us to reduce the interference by rejecting corrupted time-frequency slots. The use of multichannel detection greatly improves performance over previously suggested single channel detectors. This paper is the first to propose the implementation of advanced array signal processing methods for interference detection in radio astronomical observations.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114600230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analytical performance bound on a correlation matrix based blind equalizer","authors":"J. Mannerkoski, V. Koivunen","doi":"10.1109/SPAWC.1999.783025","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783025","url":null,"abstract":"Blind equalizers are used to remove the intersymbol interference (ISI) caused by a communication channel without knowing the transmitted sequence. Blind equalizers can be obtained from the second-order cyclostationary statistics of the received sequence. The successful equalization of a mixed-phase communication channel often requires a suitable delay at the output of the equalizer. An arbitrary delay blind equalizer can be obtained with the correlation matrix (CM) method. In this paper, an analytical lower bound for the mean-squared error (MSE) of the CM-equalizer is derived. The MSE is evaluated for example channels and simulations are used to verify the analytical results. For comparison, simulation results obtained with three other algorithms are given. The equalizer performance is studied in simulation as a function of the magnitude of the first channel coefficient.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123912952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proposed bit precisions for a VLSI implementation of the constant modulus algorithm","authors":"L. Litwin, T. Endres, S. Hulyalkar, M. Zoltowski","doi":"10.1109/SPAWC.1999.783078","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783078","url":null,"abstract":"One of the most popular blind equalization techniques is the constant modulus algorithm (CMA), and it has gained popularity in the literature and in practice because of its LMS-like complexity and its robustness to non-ideal, but practical, conditions. When implementing the CMA in a VLSI design, the bit precisions used to represent the mathematical quantities must be carefully chosen in order to reduce performance degradation due to finite bit precision effects. The motivation for this paper is a VLSI implementation of a high data rate, fractionally spaced, linear forward equalizer whose taps are adjusted using CMA. We propose a set of bit precisions and show how the CMA performs using those precisions to equalize 64-QAM data. An interesting finding is that the MSEs that result from using our proposed bit precisions are within 1 dB of the MSEs for the floating point version of CMA.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124778011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal antenna array receiver design and evaluation for fast Rayleigh flat fading environments","authors":"M. Yan, B. Rao","doi":"10.1109/SPAWC.1999.783087","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783087","url":null,"abstract":"We develop an approach for using an antenna array for tracking fast Rayleigh flat fading channels and suppressing cochannel interference. A general autoregressive (AR) filter is used to model fast flat fading channels, making it possible to characterize the temporal variation of the channels and evaluate its effect on the receiver structure and performance. The optimal array receiver structure that minimizes the probability of error for BPSK signals is derived, which includes a Kalman filter to predict fading channels. A simple expression for the probability of error is also derived for the optimal receiver. In particular, we analyze the case with an AR-1 shaping filter and identical independent fading channels. An irreducible probability of error is shown to exist due to the prediction error of multiple channels. Another interesting observation from the study is that the diversity gain with m antenna elements in the presence of k interferences is usually greater than (m-k), i.e. m antennas with k interferences always perform better than (m-k) antennas without interference. Simulations are carried out to verify the theoretical analysis.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126142782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Blind MMSE CDMA detection in multipath channels","authors":"Junqiang Shen, Z. Ding","doi":"10.1109/SPAWC.1999.783005","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783005","url":null,"abstract":"This paper addresses the problem of blind estimation of CDMA signals in multipath channel based on MMSE criterion. We formulate the asynchronous CDMA model into the framework of multiple input multiple output (MIMO) system and developed a new blind equalization and user separation algorithm based on second order statistics to cancel ISI and MUI. We also give the conditions for detecting a desired user from the received signal.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126855746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Maximum likelihood array processing: the semi-blind case","authors":"R. Kozick, Brian M. Sadler","doi":"10.1109/SPAWC.1999.783021","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783021","url":null,"abstract":"Protocols for digital wireless communication systems generally contain known bit sequences that are transmitted periodically for the purposes of training and/or synchronization. We study the performance improvement that is obtained in antenna array processing when knowledge of the signal waveforms is exploited. Our model is formulated such that the signals from multiple sources are known for a subset of the data samples and unknown for the remainder of the samples. Maximum likelihood (ML) estimates of the signal parameters are derived for this model, and the Cramer-Rao bound (CRB) on the accuracy of source location estimates is presented. Numerical evaluations of the CRB are included to illustrate the performance when partial training data is available in one or more of the sources.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128031216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An iterative multichannel method for blind Volterra system equalization","authors":"A. Redfern, G.T. Zhou","doi":"10.1109/SPAWC.1999.783065","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783065","url":null,"abstract":"Blind channel equalization is a challenging problem in modern communication systems, where the transmission of a training sequence may not be possible. In this paper a blind multichannel equalizer design procedure is proposed for Volterra (nonlinear) channels. Knowledge of the exact lengths of the system kernels is not necessary, and perfect reconstruction of the input is possible in the noise-free case. Simulations demonstrate the performance of the algorithm on a third-order baseband Volterra system.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131269833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Constrained complexity spatio-temporal interference rejection combining","authors":"D. Astely, B. Ottersten","doi":"10.1109/SPAWC.1999.783031","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783031","url":null,"abstract":"Space-time processing for co-channel interference (CCI) rejection and equalization with antenna arrays may provide large gains over space-only processing, especially in interference limited scenarios. However, taking the temporal correlation of the noise and CCI process into account leads to sequence detection with higher complexity as compared to space-only processing that neglects this correlation. We propose the use of the generalized Viterbi algorithm for sequence detection with lower complexity. Special cases include the M-algorithm and the delayed decision feedback sequence estimator. A relevant comparison between spatial and spatio-temporal processing with sequence detectors of the same complexity may thus be performed. Numerical examples show substantial gains for spatio-temporal processing as compared to space-only processing also in this case when the optimality of the sequence detector is traded for interference rejection.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133131136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}