Jun Liu, Yu Liu, Kai Dong, Shun Sun, Ziran Ding, Qichao Li
{"title":"A Square-root Version Distributed Nonlinear Filter Based on Information Consensus","authors":"Jun Liu, Yu Liu, Kai Dong, Shun Sun, Ziran Ding, Qichao Li","doi":"10.23919/fusion43075.2019.9011222","DOIUrl":"https://doi.org/10.23919/fusion43075.2019.9011222","url":null,"abstract":"This paper studies the problem of distributed nonlinear state estimation in sensor networks. To solve the problems of nonlinearity in system model, redundancy caused by consensus iterations, and naivety resulting from limited field of view (FOV) of sensors, a novel square-root version distributed nonlinear filter based on information consensus (SRDICF) is proposed. It is developed based on the information weighted consensus protocol with embedded square-root decomposition of the information matrices. The cubature rule is chosen to approximate the Gaussian weighted integral involved in the nonlinear Bayesian filtering paradigm. Then different weights are assigned to the local prior and measurement information to initialize the consensus terms. Finally, the global estimate of each node is acquired with sufficient consensus iterations. The experimental results illustrate that the SRDICF achieves higher estimation accuracy, faster convergence rate and better numerical stability in the existence of naïve nodes and information redundancy. In addition, the SRDICF attains comparable estimation accuracy to the centralized scheme with fewer consensus iterations.","PeriodicalId":348881,"journal":{"name":"2019 22th International Conference on Information Fusion (FUSION)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127805976","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":"GA-ML-PDA Based Track Initialization with Passive Multistatic Radar (Poster)","authors":"Yun-fei Guo, Zhuoer Tian, Dongliang Peng, Han Shentu, TongJing Sun, Meng-fan Xue","doi":"10.23919/fusion43075.2019.9011372","DOIUrl":"https://doi.org/10.23919/fusion43075.2019.9011372","url":null,"abstract":"In order to address the problem of track initialization in the presence of clutter with passive multistatic radar, a genetic algorithm based maximum likelihood probabilistic data association (GA-ML-PDA) algorithm is proposed in this paper. First, the log-likelihood ratio (LLR) function is established from multiframe measurements. Then, the track is initialized by maximizing the LLR function with the genetic algorithm (GA). Last, the extreme value theory (EVT) is used for the track acceptance test. Simulation results verify the effectiveness of the algorithm.","PeriodicalId":348881,"journal":{"name":"2019 22th International Conference on Information Fusion (FUSION)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116422299","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 Fusion of Partial Estimates Under Implicit Partial Knowledge of Correlation","authors":"Jiří Ajgl, O. Straka","doi":"10.23919/fusion43075.2019.9011251","DOIUrl":"https://doi.org/10.23919/fusion43075.2019.9011251","url":null,"abstract":"Covariance Intersection fusion is bound-optimal under unknown correlations. Partial knowledge can improve the fusion. An implicit constraint on correlation has been introduced in the literature for full-vector estimates. This paper considers fusion of partial estimates. Weak and strong counterparts of the full-vector assumption are proposed. An analysis of admissible ideal fusions reveals that the considered implicit partial knowledge cannot improve the Covariance Intersection fusion of partial estimates. An exception is found for the strong assumption and fusion of one partial and one full-vector estimate. For this case, an improved fusion rule is presented.","PeriodicalId":348881,"journal":{"name":"2019 22th International Conference on Information Fusion (FUSION)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115268771","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":"Fourier Subspace Preserving Particle Filter (Poster)","authors":"C. Thron, Khoi Tran","doi":"10.23919/fusion43075.2019.9011424","DOIUrl":"https://doi.org/10.23919/fusion43075.2019.9011424","url":null,"abstract":"We introduce a new particle filter, based on the mathematical notion of weak approximation. The filter is similar to the Daum-Huang particle filter in that it propagates filter particles based on a “homotopy” that is used to adjust the position of particles. However, the homotopy that we propose is much simpler, and does not require extraneous mathematical constructions. We verify the filter's performance in one and two dimensions. The filter holds promise of providing a low-complexity, high performance filter.","PeriodicalId":348881,"journal":{"name":"2019 22th International Conference on Information Fusion (FUSION)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115660540","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}
Shen-Tu Han, Yingjiao Rong, Yun-fei Guo, Ji-an Luo, Yifang Shi
{"title":"Gaussian Mixtures Match and Fusion Algorithms for Multi-Sensor Multi-Target Tracking","authors":"Shen-Tu Han, Yingjiao Rong, Yun-fei Guo, Ji-an Luo, Yifang Shi","doi":"10.23919/fusion43075.2019.9011421","DOIUrl":"https://doi.org/10.23919/fusion43075.2019.9011421","url":null,"abstract":"The results of single sensor Gaussian Mixture PHD Tracker (GM-PHDT) will deteriorate when tracking targets in dense clutter and low detection rate environments. In this work, we propose three multi-sensor multi-target GM-PHD fusion algorithms. For the proposed algorithms, we obtain the multi-sensor posterior GMs by fusing the matched GMs from multiple sensors. Specifically, the GM matching and fusing methods are proposed to fullfill the applicable GM-PHD algorithms. The simulation results demonstrated the efficiency of the proposed algorithms","PeriodicalId":348881,"journal":{"name":"2019 22th International Conference on Information Fusion (FUSION)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127424757","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":"Simulating Null Games for Uncertainty Evaluation in Green Security Games","authors":"L. Kirkland, A. D. Waal, J. D. Villiers","doi":"10.23919/fusion43075.2019.9011280","DOIUrl":"https://doi.org/10.23919/fusion43075.2019.9011280","url":null,"abstract":"Rhino poaching is a persistent problem in Southern Africa which may lead to the extinction of the white and black rhinoceros. Recent studies have shown that the Stackelberg model can be an effective tool for security games through optimal resource allocation strategies. Few of these studies focus their attention on wildlife crime or, more generally, green security games in which frequent attacks occur. Furthermore, there does not appear to be a standard way to evaluate the uncertainty and performance of such models. In this work, a simulation platform that emulates realistic movement of rhinos, rangers and poachers in the park, is presented which can ultimately be used for evaluation of game theory models. The game theory model implemented in the simulation platform is evaluated using the uncertainty representation and evaluation framework (URREF) ontology.","PeriodicalId":348881,"journal":{"name":"2019 22th International Conference on Information Fusion (FUSION)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126200147","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}
Xuezhi Wang, Simon Williams, D. Angley, C. Gilliam, T. Jackson, Richard Ellem, A. Bessell, B. Moran
{"title":"RRT* Trajectory Scheduling Using Angles-Only Measurements for AUV Recovery","authors":"Xuezhi Wang, Simon Williams, D. Angley, C. Gilliam, T. Jackson, Richard Ellem, A. Bessell, B. Moran","doi":"10.23919/fusion43075.2019.9011175","DOIUrl":"https://doi.org/10.23919/fusion43075.2019.9011175","url":null,"abstract":"Sensor trajectory optimisation involves extensive search over the sensor motion space against an optimisation criterion. The search under dynamic programming or fixed grid is often computationally nontrivial even for a myopic search scenario. In this paper, we study the problem of an autonomous underwater vehicle planning its return route to a moving recovery vessel. To complicate the issue, the AUV needs to localize the vessel using angle-only measurements. Accordingly, we propose a random sampling based trajectory planning algorithm that incorporates both a dynamic goal and the need to localize that goal. More precisely, we incorporate an information theoretic cost into a rapid-exploring random tree trajectory planning framework thus allowing the AUV to both localize and reach the recovery vessel. Our experimental results show that the proposed method may achieve the same trajectory optimisation performance as that under dynamic programming method but with greater computational efficiency.","PeriodicalId":348881,"journal":{"name":"2019 22th International Conference on Information Fusion (FUSION)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128053738","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":"The Dual-frequency Post-correlation Difference Feature for Detection of Multipath and non-Line-of-Sight Errors in Satellite Navigation","authors":"Simon Ollander, Friedrich-Wilhelm Bode, M. Baum","doi":"10.23919/fusion43075.2019.9011302","DOIUrl":"https://doi.org/10.23919/fusion43075.2019.9011302","url":null,"abstract":"Global Navigation Satellite Systems provide users with positioning in outdoor environments, however their performance in urban areas is decreased through errors caused by the reception of signals that are reflected on buildings (multipath and non-line-of-sight errors). To detect these errors, we simulated their influence on the correlator output on two carrier frequencies. Based upon the simulations, a feature using the difference between an ideal correlator output and the received correlator output was developed. This article presents the new Dual-frequency Post-correlation Difference feature and compares its performance with two methods from the bibliography. This new feature outperforms the Code-Minus-Carrier and the signal-to-noise ratio difference features in multipath and non-line-of-sight detection. Furthermore it can distinguish between multipath and non-line-of-sight reception. As a consequence, the method can be used to exclude satellites whose signals are affected by reflections, to provide a more accurate navigation solution.","PeriodicalId":348881,"journal":{"name":"2019 22th International Conference on Information Fusion (FUSION)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125190577","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 of AIS Spoofing in Fishery Scenarios","authors":"Max Kruger","doi":"10.23919/fusion43075.2019.9011328","DOIUrl":"https://doi.org/10.23919/fusion43075.2019.9011328","url":null,"abstract":"For the purpose of maritime safety, information, and surveillance, almost all sea-going vessels have to participate in the Automatic Identification System (AIS). This system serves as a cooperative VHF-radio exchange of navigational and ships' information. Since AIS broadcasts self-declared information, it is open to fraudulent misuse by users. Based on different approaches to classification of maritime vessels, i.e., Random Forest, Voting-2-of-3, Decision Tree, Fuzzy Rule, and $k$ Nearest Neighbor, this contribution addresses the question, up to which accuracy it is possible, to detect fishery vessels with spoofed AIS-type based only on ship's positional, motion, and dimensions' AIS-data. For this purpose, in real-life AIS datasets from early summer 2017 the classification results of AIS fishery type are evaluated and compared.","PeriodicalId":348881,"journal":{"name":"2019 22th International Conference on Information Fusion (FUSION)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121682801","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":"Why Your Heart Was Beating: Poster","authors":"W. Dargie","doi":"10.23919/fusion43075.2019.9011438","DOIUrl":"https://doi.org/10.23919/fusion43075.2019.9011438","url":null,"abstract":"The use of wireless electrocardiograms, wearable as well as implants, enable long-term and unobtrusive monitoring of patients in their everyday living and working environments. If enriched by environmental contexts, these devices can be vital for early detection of cardiovascular diseases. Often cardiologists encourage patients to keep medical journals in order to contextualise the measurements of electrocardiograms. Experiences show, however, journal entries can be inconsistent or incomplete. In this paper we associate the measurements of a wireless electrocardiogram with the measurements of inertial sensors in order to reason about the activities of a person. We put together the raw measurements and their wavelet transform in a three-way tensor and apply tensor decomposition to uncover hidden features which can be vital for detecting the underlying activities. We model and reason about six everyday activities, namely, cycling, climbing up and down a staircase, jumping, push-ups, running, and skipping.","PeriodicalId":348881,"journal":{"name":"2019 22th International Conference on Information Fusion (FUSION)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124952515","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}