{"title":"Tracking jump processes using particle filtering","authors":"M. Sebghati, H. Amindavar","doi":"10.1109/SAM.2008.4606901","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606901","url":null,"abstract":"Jump processes are special kind of non-Gaussian stochastic processes with random jumps at random time points. These processes can be used to model sudden random variations of state variables in dynamic systems. We propose a new algorithm for tracking of these processes. Generally speaking, we are faced with non-Gaussianity in the jump process which is an inherent property and possibly the non-Gaussian and impulsive measurement noise, hence, algorithms based on Kalman filtering are not successful. For tracking of a jump process, we use a bootstrap filter as a generic particle filter along with an modified filter in addition to different types of measurement noise, as a comparison benchmark, the results are compared with the Kalman filtering approach.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131256852","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":"New results on robust adaptive beamspace preprocessing","authors":"A. Hassanien, S.A. Vorobyovy","doi":"10.1109/SAM.2008.4606880","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606880","url":null,"abstract":"In this paper, we develop an algorithm for data-adaptive beamspace preprocessing with robustness against out-of-sector sources. Our algorithm yields an orthogonal beamspace matrix and, hence, it preserves the white noise property at the output of the beamspace preprocessor. The beamspace matrix is designed as a matrix filter that maintains an almost distortionless response towards sources within the beamspace sector while maximally rejects all out-of-sector sources. The columns of the beamspace matrix are designed sequentially, one column at a time. This sequential implementation is curried out by imposing orthogonality constraints between beamspace matrix columns. The proposed algorithm is computationally less expensive as compared to the existing data-adaptive beamspace design techniques. Simulation results are provided to validate the robustness of the developed algorithm, and show its effectiveness.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131643336","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":"Comparison of the CAF-DF and SAGE algorithms in multipath channel parameter estimation","authors":"M. B. Guldogan, O. Arikan","doi":"10.1109/SAM.2008.4606818","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606818","url":null,"abstract":"In this paper, performance of the recently proposed cross ambiguity function - direction finding (CAF-DF) technique is compared with the space alternating generalized expectation maximization (SAGE) technique. The CAF-DF, iteratively estimates direction of arrival (DOA), time-delay, Doppler shift and amplitude corresponding to each impinging signal onto an antenna array by utilizing the cross ambiguity function. On synthetic signals, based on Monte Carlo trials, performances of the algorithms are tested in terms of root mean squared error (rMSE) at different signal-to-noise ratios (SNR). Cramer-Rao lower bound is included for statistical comparisons. Simulation results indicate the superior performance of the CAF-DF technique over SAGE technique for low and medium SNR values.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124333803","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":"Linear least squares based acoustic source localization utilizing energy measurements","authors":"D. Ampeliotis, K. Berberidis","doi":"10.1109/SAM.2008.4606887","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606887","url":null,"abstract":"Localization of an isotropic acoustic source using energy measurements from distributed sensors is considered. While most acoustic source localization algorithms require that distance estimates between the sensors and the source of interest are available, we propose a linear least squares criterion that does not make such an assumption. The new criterion can yield the location of the source and its transmit power in closed form. A weighted least squares cost function is also considered, and distributed implementation of the proposed estimators is studied. Numerical results indicate significant performance improvement as compared to a linear least squares based approach that utilizes energy ratios, and comparable performance to other estimators of higher computational complexity.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114451017","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 novel interpretation of Capon’s method in beam space","authors":"H. Ge, I. Kirsteins","doi":"10.1109/SAM.2008.4606881","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606881","url":null,"abstract":"The paper introduces and provides a simple proof of an interesting matrix inversion identity involving subspaces. Using this identity, new insights and interpretations are provided about beam space-based adaptive beamformers and the generalized sidelobe canceller. In addition, system performance measures and losses in terms of the achievable SINR and deflection coefficient can be interpreted and predicted in beam space using the framework of subspaces.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115107122","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 new subspace algorithm for blind channel estimation in broadband space-time block coded communication systems","authors":"J. Vía, I. Santamaría, J. Pérez","doi":"10.1109/SAM.2008.4606840","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606840","url":null,"abstract":"In this paper a new subspace method for blind estimation of frequency-selective channels is proposed. Specifically, we consider the case of broadband space-time block coded (STBC) transmissions such as STBC-OFDM, space-frequency block coding (SFBC), or time-reversal STBC. The proposed technique is able to exactly recover the channel within a limited number of data blocks, and its computational complexity is linear in the number of subcarriers or data-block size. Furthermore, it is independent of the specific signal constellation, and therefore it can also be applied when the sources have been precoded to exploit the multipath diversity. Finally, the performance of the proposed method is evaluated by means of some numerical examples.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121997517","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":"Normal-mode based music for bearing estimation in shallow water","authors":"Lijie Zhang, Jianguo Huang, Qunfei Zhang, Yunshan Hou","doi":"10.1109/SAM.2008.4606831","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606831","url":null,"abstract":"In shallow water, the plane-wave direction-of-arrival (DOA) estimators generally yield biased estimates, due to the multimode nature of acoustic propagation. To solve this problem, a normal mode array model is described. And a Normal-Mode based MUSIC method, referred as NM-MUSIC, is proposed for DOA estimation, which is adapted from the classical MUSIC method. The present NM-MUSIC method obtains unbiased DOA estimates by angle searching in the given multi-dimensional functions of the horizontal wave number steering vectors of normal modes. Numerical results show that the NM-MUSIC method could effectively eliminate the bias of DOA estimates caused by multimode acoustic propagation and reach asymptotically unbiased DOA estimates of sources located in shallow water as SNR increase.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125741077","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":"Robust methods based on the hosvd for estimating the model order in PARAFAC models","authors":"Joqo Paulo, L. Costa, M. Haardt, Florian Romer","doi":"10.1109/SAM.2008.4606923","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606923","url":null,"abstract":"Parallel factor (PARAFAC) analysis represents a decomposition of a tensor into a minimum sum of rank one tensors. For this task, one crucial problem is the estimation of the number of rank one components that are required to represent the tensor. This problem is also known as model order estimation. Recently we have developed new R-dimensional techniques based on the HOSVD to estimate the number of components in multi-dimensional harmonic retrieval problems (i.e., R-D EFT, R-D AIC, and R-D MDL). In this paper, we apply these R-D methods to the PARAFAC model, which is a more general multi-way data model, and show that they outperform T-CORCONDIA, a nonsubjective form of CORCONDIA, in terms of the probability of detection as well as the required computational complexity.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128296729","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":"Spatial-temporal multi-channel audio coding","authors":"Jonghwa Lee, Chulhee Lee","doi":"10.1109/SAM.2008.4606895","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606895","url":null,"abstract":"This paper presents a multi-channel audio coding method compatible with the standard stereo audio coding method. The encoding method consists of three parts: spatial-temporal analysis of sound source location, compressing multi-channel audio into stereo audio and encoding stereo signals. The proposed method is simpler and more effective than conventional methods in terms of audio data size with small additional information. With proposed method, it is possible to transmit or store multi-channel audio signals as stereo audio signals.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127116229","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":"Nonlinear interpolation of speech-spectra using soliton equations","authors":"Y. Shiraki","doi":"10.1109/SAM.2008.4606893","DOIUrl":"https://doi.org/10.1109/SAM.2008.4606893","url":null,"abstract":"This research is devoted to the study of how to get an intelligible speech synthesized from a pair of speech-spectral sequences YA and YB uttered the same sentence by a speaker A and B. First we relate a certain smoothness of vector fields of a surface with the boundary of YA and YB to the intelligibility of synthesized speech-spectral sequences. Second we show experimentally that a flat connection of the surface derived from soliton equations play an important role in maintaining speech intelligibility.","PeriodicalId":422747,"journal":{"name":"2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127233082","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}