The Time-of-Arrival Offset Estimation in Neural Network Atomic Denoising in Wireless Location

Abstract

With the increasing demand for wireless location services, it is of great interest to reduce the deployment cost of positioning systems. For this reason, indoor positioning based on WiFi has attracted great attention. Compared with the received signal strength indicator (RSSI), channel state information (CSI) captures the radio propagation environment more accurately. However, it is necessary to take signal bandwidth, interferences, noises, and other factors into account for accurate CSI-based positioning. In this paper, we propose a novel dictionary filtering method that uses the direct weight determination method of a neural network to denoise the dictionary and uses compressive sensing (CS) to extract the channel impulse response (CIR). A high-precision time-of-arrival (TOA) is then estimated by peak search. A median value filtering algorithm is used to locate target devices based on the time-difference-of-arrival (TDOA) technique. We demonstrate the superior performance of the proposed scheme experimentally, using data collected with a WiFi positioning testbed. Compared with the fingerprint location method, the proposed location method does not require a site survey in advance and therefore enables a fast system deployment.

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“…It had many advantages compared with the traditional semi-empirical method [ 52 ]. It could be divided into the feedforward network and the feedback network [ 53 ]. The backpropagation (BP) neural network was a forward neural network according to the error backpropagation algorithm, which was made up of the input layer, the hidden layer, and the output layer.…”

Improving the Robustness of Time Difference of Arrival Estimation Based on the Energy Center of Gravity Rearrangement

“…Time delay estimation (TDE) is crucial in many fields, including radar, navigation, sonar, seismic monitoring, acoustic source localization, environmental monitoring, and space exploration applications [ 1 , 2 , 3 , 4 , 5 , 6 ]. Accurate TDE is crucial for source localization systems, such as wireless communication and instantaneous finding systems, which track the relative location of a goal [ 7 , 8 , 9 , 10 ]. There are two types of TDE distinguished by their active and passive detection methods, namely the time of arrival (TOA) estimation and the time difference of arrival (TDOA) estimation.…”