{"title":"Physical channel modeling, adaptive prediction and transmitter diversity for flat fading mobile channel","authors":"Shengquan Hu, Hans Hallen, A. Duel-Hallen","doi":"10.1109/SPAWC.1999.783099","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783099","url":null,"abstract":"Deterministic modeling of flat fading wireless channels using the method of images is presented. The models identify typical and worst-case channel parameter variation rates and yield datasets of channel strength vs. position, which are used to test a long-range adaptive prediction algorithm previously presented by the authors. Our physical insights and unique long-range prediction capability for the fast fading can be used in conjunction with space diversity-including novel transmitter diversity schemes for a single receiving antenna-or adaptive modulation to significantly reduce or eliminate the effects of deep fades in wireless communications.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"43 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":"131460734","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":"Fractionally spaced blind equalization: CMA versus second order based methods","authors":"L. Mazet, Ph. Ciblat, Ph. Loubaton","doi":"10.1109/SPAWC.1999.783061","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783061","url":null,"abstract":"It is now well established that most of the blind fractionally spaced channel estimates based on the exclusive use of the second order statistics of the observation have poor performance when the excess bandwidth of the received signal is reduced. Previous papers proposed to use covariance matching approaches, and showed that a significant improvement of the mean square error of the channel estimate is possible. The purpose of this paper is to evaluate more precisely the potential of these methods. For this, we propose to compare the performance of a Wiener equalizer based on the optimally weighted covariance matching estimate of the channel (known as the best second order statistics based estimate) with the most standard higher order statistics based method, i.e. the (block) fractionally spaced CMA equalizer. It is shown that the CMA outperforms quite significantly the second order statistics based Wiener equalizer.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"1 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":"130933538","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":"Looping LMS versus fast least squares algorithms: who gets there first?","authors":"M. Alberi, R. Casas, I. Fijalkow, C. R. Johnson","doi":"10.1109/SPAWC.1999.783077","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783077","url":null,"abstract":"This paper analytically compares, in terms of the convergence time, fast least squares estimation algorithms for channel identification and equalization to looping LMS (LLMS), a scheme which repeatedly applies the least mean squares algorithm to a block of received data. In this study, the convergence time is defined as the actual time (in seconds) taken by an algorithm to reach a desired performance. The old theme on LMS and fast least squares algorithms convergence is revisited from a novel perspective: the comparison is made from a complexity viewpoint, which not only takes into account the statistical properties of studied algorithms but also the number of floating point operations.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"28 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":"126102744","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":"Adaptive narrow-band interference rejection in DWMT-CDMA communications","authors":"Wen-Sheng Hou, Bor‐Sen Chen","doi":"10.1109/SPAWC.1999.783043","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783043","url":null,"abstract":"While combining discrete wavelet multiton (DWMT) with code division multiple access (CDMA) systems, both narrow-band interference (NBI) and multiple-access interference (MAI) arise when data is transmitted over NBI channels. In this paper, we address interference suppression and processing gain protection for multiuser detection with less noise enhancement by using a parallel canceling scheme. In order to avoid performance deterioration due to unreliable initial estimation in the parallel cancellation scheme, a cost function with proper weighting of design criterion is introduced to improve the performance of the proposed detector.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"16 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":"129880745","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":"Semi-blind subspace techniques for digital communication systems","authors":"V. Buchoux, É. Moulines, O. Cappé, A. Gorokhov","doi":"10.1109/SPAWC.1999.783018","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783018","url":null,"abstract":"This paper is devoted to the analysis of a \"semi-blind\" estimation framework in which the standard input-output (training sequence based) estimation is enhanced by using the statistical structure of the information sequence. More specifically, we consider the case of a general TDMA frame-based receiver equipped with multiple sensors, and restrict our attention to second-order based subspace methods which are suitable for most standard communication applications due to their moderate computational cost. The channel estimator is obtained as a regularized least-squares solution where the blind subspace criterion plays the role of the regularization constraint. The main contribution of the paper consists in showing by asymptotic analysis how to optimally tune the balance between the blind criterion and the least-squares fit depending on the design parameters of the system. Simulations show that the proposed solutions are very effective and significantly improve the efficiency of the equalization.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"45 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":"130226356","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":"A Rayleigh Doppler frequency estimator derived from maximum likelihood theory","authors":"H. Hansen, S. Affes, P. Mermelstein","doi":"10.1109/SPAWC.1999.783098","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783098","url":null,"abstract":"Reliable estimates of Rayleigh Doppler frequency are useful for the optimization of adaptive multiple access wireless receivers. The adaptation parameters of such receivers are sensitive to the amount of Doppler and automatic reconfiguration to the speed of terminal movement can optimize cell capacities in low and high speed situations. We derive a Doppler frequency estimator using the maximum likelihood method and Jakes model (1974) of a Rayleigh fading channel. This estimator requires an FFT and simple post-processing only. Its performance is verified through simulations and found to yield good results.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"111 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":"117228796","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":"A robust frequency estimation technique for synchronization over frequency-selective channels","authors":"V. Aggarwal, C. Chien","doi":"10.1109/SPAWC.1999.783036","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783036","url":null,"abstract":"Conventional estimation algorithms utilize either a tone or squarewave in the preamble for frequency estimation. However, such patterns for the preamble sequence are nonoptimal when the channel is frequency selective. Furthermore, the problem is exacerbated for packet-switched systems, such as wireless LANs, which require frequency synchronization on a per packet basis. This paper presents a low complexity frequency estimation algorithm that is robust in frequency selective fading channels. The algorithm is non-decision aided and does not require a priori frame synchronization. Compared against conventional techniques, a factor of 5-10 reduction in BER and a factor of 3 reduction in convergence time are achieved.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"90 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":"115848876","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 chip- and symbol rate CDMA receivers","authors":"J. Sorelius, B. Gesbert","doi":"10.1109/SPAWC.1999.783004","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783004","url":null,"abstract":"This paper deals with the problem of blind (and semi-blind) estimation of linear DS-CDMA receivers using multiple antennas in asynchronous intersymbol interference (ISI) channels. We introduce simple relations between receivers at the symbol rate and at the chip rate and derive deterministic constraints that can be used to determine these receivers in a blind manner, with small sample sizes. The chip rate receiver is shown to be close to the MMSE receiver. Connections with existing techniques are discussed.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"158 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":"126739165","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":"A deterministic Schur method for multichannel blind identification","authors":"L. Deneire, D. Slock","doi":"10.1109/SPAWC.1999.783072","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783072","url":null,"abstract":"We address the problem of blind multichannel identification in a communication context. Using a deterministic model for the input symbols and only second order statistics, we develop a simple algorithm, based on the generalized Schur algorithm to apply LDU decomposition of the covariance matrix of the received data. We show that this method leads to identification of the channel, up to a constant. Furthermore, the identification algorithm is shown to yield similar performance as the subspace method (Moulines et al. 1995). This paper complements Deneire and Slock where we developed a stochastic Schur algorithm.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"1 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":"129580330","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":"On the robustness of blind linear receivers for short-code CDMA","authors":"Philip Schniter, C. Johnson","doi":"10.1109/SPAWC.1999.783007","DOIUrl":"https://doi.org/10.1109/SPAWC.1999.783007","url":null,"abstract":"In this paper, we examine the performance of minimum output energy, subspace, and minimum entropy criteria for blind acquisition/ linear-equalization of short-code CDMA signals. Environments with significant multipath, user load, and asynchronism are considered, and it is found that a minimum entropy criterion offers significantly superior MSE performance in these situations.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"14 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":"125885864","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}