Research on D2D co-localization algorithm based on clustering filtering

Nowadays, most positioning systems carry out locational calculation based on the accurate location information of some devices in the network. However there is a deviation in the locational information of the part of the device, we need to reduce it in order to obtain higher positioning accuracy. In this paper, we proposed a new centralized D2D (Device-to-Device) co-location algorithm. This algorithm uses DBSACN (Density-Based Spatial Clustering of Applications with Noise) clustering to reduce the deviation of device location information. Numerical results show that the positioning accuracy of the centralized D2D co-localization algorithm is improved by 62.7% compared with the SPAWN algorithm, which positioning performance superior to the traditional co-localization algorithm.

[1]  Moe Z. Win,et al.  Fundamental Limits of Wideband Localization— Part II: Cooperative Networks , 2010, IEEE Transactions on Information Theory.

[2]  Rui Ma,et al.  Range Accuracy Analysis for FMCW Systems with Source Nonlinearity , 2019, 2019 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM).

[3]  Sha Liu,et al.  Coverage optimization Based on Immune Clustering Topology in Wireless Sensor Networks , 2018, 2018 Ninth International Conference on Intelligent Control and Information Processing (ICICIP).

[4]  John W. Fisher,et al.  Nonparametric belief propagation for self-localization of sensor networks , 2005, IEEE Journal on Selected Areas in Communications.

[5]  Myoungho Sunwoo,et al.  Re-Plannable Automated Parking System With a Standalone Around View Monitor for Narrow Parking Lots , 2020, IEEE Transactions on Intelligent Transportation Systems.

[6]  Henk Wymeersch,et al.  Hybrid Cooperative Positioning Based on Distributed Belief Propagation , 2011, IEEE Journal on Selected Areas in Communications.

[7]  Kiseon Kim,et al.  Distributed Detection and Fusion of Weak Signals in Fading Channels with Non-Gaussian Noises , 2012, IEEE Communications Letters.

[8]  R. Michael Buehrer,et al.  Approximate Joint MAP Detection of Co-Channel Signals in Non-Gaussian Noise , 2015, IEEE Transactions on Communications.

[9]  Moshe Hamaoui,et al.  Non-Iterative MDS Method for Collaborative Network Localization With Sparse Range and Pointing Measurements , 2019, IEEE Transactions on Signal Processing.

[10]  R. Michael Buehrer,et al.  Approximate Joint MAP Detection of Co-Channel Signals , 2015 .

[11]  Moe Z. Win,et al.  Cooperative Network Synchronization: Asymptotic Analysis , 2017, IEEE Transactions on Signal Processing.

[12]  Hung Ngoc Do,et al.  Implementation of IDMA System with Multiple Access Channel and non-Gaussian Noise , 2018, 2018 5th NAFOSTED Conference on Information and Computer Science (NICS).

[13]  Cramer-Rao lower bound of Doppler stretch and delay in wideband signal model , 2017, 2017 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).

[14]  R. Buehrer,et al.  A new Cramer-Rao lower bound for TOA-based localization , 2008, MILCOM 2008 - 2008 IEEE Military Communications Conference.

[15]  Ramesh Annavajjala,et al.  Communication over non-Gaussian channels - Part II: Channel estimation, mismatched receivers, and error performance with coding , 2015, MILCOM 2015 - 2015 IEEE Military Communications Conference.

[16]  Ryo Kurazume,et al.  Cooperative positioning with multiple robots , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[17]  Takuya Maekawa,et al.  Spring Model Based Collaborative Indoor Position Estimation With Neighbor Mobile Devices , 2015, IEEE Journal of Selected Topics in Signal Processing.

[18]  Zibo Zhang,et al.  Indoor Collaborative Positioning With Adaptive Particle-Pair Filtering Based on Dynamic User Pairing , 2019, IEEE Access.

[19]  A. Rodrigues,et al.  A GPS-based Mobile Coordinated Positioning System for Firefighting Scenarios , 2006, 2006 Proceedings of the First Mobile Computing and Wireless Communication International Conference.

[20]  Moe Z. Win,et al.  Network Navigation: Theory and Interpretation , 2012, IEEE Journal on Selected Areas in Communications.

[21]  Yaakov Bar-Shalom,et al.  CRLB for Estimating Time-Varying Rotational Biases in Passive Sensors , 2020, IEEE Transactions on Aerospace and Electronic Systems.