{"title":"Estimation of Two-dimensional Class A Noise Model Parameters By Markov Chain Monte Carlo","authors":"Yu-zhong Jiang, Xiu-lin Hu, Wenyuan Li, Shu-xia Zhang","doi":"10.1109/CAMSAP.2007.4498012","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4498012","url":null,"abstract":"Antenna arrays are widely employed in communication systems, because the performance improvements over single antenna systems. The noise in multiple antennas may be statistically dependent from antenna to antenna and may be non-Gaussian. In this paper an efficient estimation of two-dimensional version Middleton's Class A noise model parameters is derived based on Markov Chain Monte Carlo (MCMC). This estimator can estimate five-parameter and hidden states for two-dimensional Class A noise model simultaneously. Simulation of this estimator indicates that this considered estimator is fast converges and low complexity for small data samples.","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127442454","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 Adaptive Sensing of Complex Communication Channels","authors":"D. Fuhrmann","doi":"10.1109/CAMSAP.2007.4497955","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4497955","url":null,"abstract":"We consider the application of an optimal measurement selection technique to a discrete-time extended Kalman filter for tracking a complex vector communication channel. The optimal linear measurement is selected prior to taking the observation at each step of the filter. The measurement is described through a measurement matrix B that depends on the prior state covariance, the available energy, and the observation noise variance. The rows of this measurement matrix represent the complex vector excitations to the communication channel, i.e. the transmitted signals, and outputs are used for channel estimation. Two aspects of the problem are discussed: 1) inherent difficulties with complex state vectors, and 2) a dynamical system model for the time-varying channel.","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123489159","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":"Data Extraction from Wireless Sensor Networks Using Fountain Codes","authors":"A. Oka, L. Lampe","doi":"10.1109/CAMSAP.2007.4498007","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4498007","url":null,"abstract":"We propose a universal and energy efficient method of data extraction from a wireless sensor network (WSN), based on digital fountain codes (DFCs) and joint-source channel decoding. We consider a WSN that aims to recreate a binary field at a distant fusion center (FC). Our method (i) exploits the feedback channel from the FC to the WSN to implement a distributed 'rate-less' DFC that automatically tunes the number of transmissions to the channel capacity, and (ii) treats the spatiotemporal dependencies in the natural field as an outer code, and jointly decodes this concatenation at the FC. For moderate distortion the proposed procedure achieves an energy efficiency close to the rate-distortion limit, while retaining the important property of having a computationally simple encoder invariant to changes in the statistical model of the source or the channel.","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123468070","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":"Estimation of Combustion Information by Crankshaft Torque Sensing in an Internal Combustion Engine","authors":"T. Mckelvey, I. Andersson, M. Thor","doi":"10.1109/CAMSAP.2007.4497979","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4497979","url":null,"abstract":"Future emission regulations for internal combustion engines as well as a strive to reduce CO2 emissions has lead to an increasing interest in control of the combustion process in order to maximize efficiency while keeping the emission levels at a minimum. One possibility to indirectly measure the combustion process quality is by using a crankshaft mounted torque sensor. A signal processing technique is outlined which provides estimates of the gas torque from individual cylinders based on data from a crankshaft mounted torque sensor. The estimates are used for closed loop ignition timing control for the purpose of maximizing engine efficiency. Results from three tests are reported and the presented technique results in a reduced fuel consumption.","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130690868","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":"Enabling Delay-Sensitive Applications Over Sensor Networks Using A Two-Tier Architecture and Multi-Antenna Cluster Heads","authors":"Lingjia Liu, J. Chamberland, Khalid A. Qaraqe","doi":"10.1109/CAMSAP.2007.4498025","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4498025","url":null,"abstract":"The timely processing and dissemination of information over wireless sensor networks is a key aspect of their future success. This is especially important for delay-sensitive applications such as detection and estimation. This paper assumes a two-tier architecture for wireless sensor networks where sensor nodes are simple devices equipped with one antenna, and cluster heads are more powerful units endowed with multiple antennas each. The cluster heads collect information from the sensor nodes, process data locally, and then relay pertinent information across the network. This article studies the potential benefits of having multiple antennas at the cluster heads on the data collection and dissemination operations. The focus is on delay-sensitive traffic, and performance is measured in terms of effective capacity. Analysis shows that, for Gaussian channels, having multiple antennas at the receiver results in a power gain, while having multiple antennas at the transmitter provides a statistical gain. In both scenarios, the data rate that a wireless channel can support is increased significantly through the use of multiple antennas at the cluster head. Numerical results confirm that the gains of a multiple-antenna configuration over a single-antenna link are substantial for delay-sensitive applications. This provides support for the two-tier architecture studied in this paper and for cluster heads having multiple antennas.","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129259969","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}
Woohyuk Chang, S. Kotagiri, J. N. Laneman, Sae-Young Chung, Y.H. Lee
{"title":"Compress-and-Forward Relaying Over Parallel Gaussian Channels","authors":"Woohyuk Chang, S. Kotagiri, J. N. Laneman, Sae-Young Chung, Y.H. Lee","doi":"10.1109/CAMSAP.2007.4498026","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4498026","url":null,"abstract":"We propose a compress-and-forward (CF) strategy for relaying over parallel Gaussian channels. The proposed CF strategy compresses received signals at the relay under a constraint on the product of their allowable distortions and forwards them to the destination over all subchannels. Then, power allocation over all subchannels at both the source and the relay and bit allocation for compressing received signals at the relay are jointly optimized under a total power constraint on each node. The proposed CF strategy is shown to generalize the previous CF strategy which compresses the received signal from the i-th. incoming subchannel and forwards it only through the i-th outgoing subchannel. We show if for a good incoming link at the relay, its corresponding outgoing link is also good enough, both CF strategies have similar performances. Otherwise, the gap between their performances becomes significant.","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123439371","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":"Real-Time Human Body Posture Estimation Using a Stereo Vision Embedded System","authors":"Young-Keun Kim, Ho-chul Shin, J. Cho","doi":"10.1109/CAMSAP.2007.4497986","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4497986","url":null,"abstract":"This paper presents a real-time method to estimate upper human posture using a stereo vision embedded system. Because of using the stereo vision system that produces precise disparity image, it is possible to execute real-time posture estimation with high accuracy. Proposed method is as follows. By using image processing and trigonometry, the positions of head and hands were acquired and discriminated. Using these positions, shoulder positions are estimated. Finally, inverse kinematics is applied to estimate positions of elbows. The experimental result is presented to support validity of the real-time system and the algorithm.","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121958034","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":"Sensing by Random Convolution","authors":"J. Romberg","doi":"10.1109/CAMSAP.2007.4497984","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4497984","url":null,"abstract":"Several recent results in compressive sampling (CS) show that a sparse signal (i.e. one which can be compressed in a known orthobasis) can be efficiently acquired by taking linear measurements against random test functions. In practice, however, it is difficult to build sensing devices which take these types of measurements. In this paper, we will show how to extend some of the results in CS to measurement systems which are more amenable to real-world implementation. In particular, we will show that taking measurements by subsampling a convolution with a random pulse is in some sense a universal compressive sampling strategy. We finish by briefly discussing how these results suggest a novel imaging architecture.","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115006946","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":"Monte Carlo Initialization for Multi-Sensor Bearing Only Tracking","authors":"A. S. Housfater, Xiao-Ping Zhang, Yifeng Zhou","doi":"10.1109/CAMSAP.2007.4497987","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4497987","url":null,"abstract":"A new algorithm for particle filter initialization for multi-sensor bearing only tracking is developed to enhance tracker performance and stability. Multiple bearing observations are used by a least squares technique to form multiple initial position estimates; these estimates are in turn used to compute the statistics of the initial state distribution. Simulated data is used to demonstrate the performance and efficiency of the algorithm by comparing the new initialization technique to a filter initialized with the true initial state.","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130239562","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}
N. Czink, Pei-Jung Chung, D. Maiwald, B. Fleury, C. Mecklenbrauker
{"title":"Determining the Number of Propagation Paths from Broadband Mimo Measurements via Bootstrapped Likelihoods and the False Discovery Rate Criterion - Part II: Application","authors":"N. Czink, Pei-Jung Chung, D. Maiwald, B. Fleury, C. Mecklenbrauker","doi":"10.1109/CAMSAP.2007.4497965","DOIUrl":"https://doi.org/10.1109/CAMSAP.2007.4497965","url":null,"abstract":"In this contribution, we apply a multiple hypothesis test procedure to real broadband MIMO antenna array measurements recorded with a RUSK-ATM vector channel sounder. The RUSK-ATM vector channel sounder operated at a center frequency of 2 GHz and a bandwidth of 120 MHz. Maximum-likelihood estimates for propagation delay, direction of arrival, direction of departure are obtained with the space alternating generalized expectation-maximization (SAGE) algorithm. The Benjamini-Hochberg procedure is invoked using the bootstrap approximation to select the number of propagation paths for a given false discovery rate.","PeriodicalId":220687,"journal":{"name":"2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128446861","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}