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DPD with IPF and GD method

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IET Wireless Sensor Systems

Micro & Nano Letters

The Journal of Engineering

DPD with IPF and GD method

Content Provider	IET Digital Library
Author	Song, Kekang Yang, Yuxiang Feng, Wentao Peng, Huafeng
Abstract	The localisation of a stationary emitter with several separated sensors is studied. At low signal-to-noise ratio, the direct position determination (DPD) approach is more precise than the two-step method which estimates the time difference of arrival (TDOA) first and locates the emitter by the TDOAs. However, the exhaustive search is usually employed to find the global maximum since the object function of DPD is non-convex. After analysing the characteristics of the object function, a DPD with improved particle filter and gradient descent method (GDIPF-DPD) is proposed. The initial and fine estimations are provided by the IPF and GD methods, successively, as the object function has single peak around the expected position and is differentiable. The IPF decreases the times of resampling through mapping the particle weights before normalisation into 0–1. The GD method improves the accuracy by seeking within the single peak. Furthermore, the position Cramér–Rao lower bound of DPD with attenuation coefficient is derived and proved to be consistent with the two-step method of TDOA. Simulation results indicate that the position accuracy of the proposed algorithm is equivalent with grad search method and its computation cost is less by two orders of magnitude.
Starting Page	718
Ending Page	725
Page Count	8
ISSN	17519675
Volume Number	13
e-ISSN	17519683
Issue Number	Issue 8, Oct (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/13/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2018.5550
Journal	IET Signal Processing
Publisher Date	2019-07-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Direct Position Determination Approach Direction of Arrival Estimation Expected Position Fine Estimations GD Method GDIPF-DPD Grad Search Method Gradient Descent Method Gradient Method Improved Particle Filter Initial Estimations IPF Low Signal-to-noise Ratio Object Function Optimisation Technique Particle Filter Particle Swarm Optimisation Position Accuracy Position Cramér–Rao Lower Bound Signal Processing And Detection Single Peak Stationary Emitter Statistics TDOA Time Difference Time-of-arrival Estimation Two-step Method
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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