Decentralised tracking for human target in multistatic ultra‐wideband radar

Abstract

A global signal processing chain for detection and localisation of moving human targets using a multistatic ultrawideband radar system with widely separated receiving antennas is proposed. The design options for the system are presented and justified, and the required signal processing steps are summarised. Special attention is then devoted to the critical issue of target association. A slow-time feature, video time density function, is proposed to associate target responses in different receiver channels. Video time density function is extracted from range-Doppler video sequences for each target. It indicates the slow-time evolution characteristic of the moving human targets, and thus is invariant to radar observation angles (provided that the target can be detected). Auction algorithm-based global nearest neighbour approach is extended to the measurement-to-measurement association between receivers. The decentralised tracking approach proposed is experimentally verified on measured data.

A Centralized Processing Framework for Foliage Penetration Human Tracking in Multistatic Radar

“…As decentralized tracking is not capable of real-time tracking [9], we design a centralized tracking framework for real-time human tracking in multistatic radar. The centralized tracking framework is presented in Fig.…”

“…Due to cost and size limitations, antennas of such a system generally have a large beam angle and can only provide limited angle-of-arrival information. By the high range resolution of wideband signals, time-of-arrival (TOA) is commonly used for target localization [6], [9].…”

“…Wrong measurement-to-measurement association leads to the well-known ghost issue [10], [11]. For human target tracking, a decentralized framework has been proposed in [12]. It uses the human slow-time feature for measurement association.…”

“…It uses the human slow-time feature for measurement association. The relatively expensive computation cost and the non-real-time tracking limit the application of the decentralized framework [9], [12].…”

Improved Detection of Human Respiration Using Data Fusion Basedon a Multistatic UWB Radar

“…In recent years, remote sensing of human targets with ultra-wideband (UWB) radar has attracted increasing attention [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. Since electromagnetic waves transmitted by UWB radar can penetrate through obstacles, such as clothes, walls, building ruins, etc., this technology can be applied in many areas, like medicine, public security, emergence rescue, and so on [1][2][3][4].…”