Moving human target detection in foliage environments based on Hough transform

Abstract

This paper focuses on the problem of moving human target detection in foliage environment, which is a challenge in a radar system. As a matter of fact, owing to the rough surfaces of trunks, branches, and leaves, there is always a lot of multipath clutter remaining which will severely influence the detection performance. In the study, a method combined with entropy weighted coherent integration (EWCI) and the Hough transform is put forward. The method can effectively suppress not only the stationary clutter but also the multipath clutter. The nonline-of-sight (NLOS) foliage-penetration measurements are set up and the results prove the superiority of our method.

Novel Power Control Scheme for Target Tracking in Radar Network with Passive Cooperation

“…In addition to aforementioned, considerable research has been conducted relevant to the potential use of radar networks for achieving systems performance improvement correlated to target detection [3][4][5][6][7], target localization [8], [9], target tracking [10][11][12][13], waveform design [14][15][16], sensor selection [17], and information extraction.…”

Vegetation clutter modeling using ultra high frequency LFMCW radar

“…This will help to find the relationship between the wind speed and the motions of the swaying leaves, and ultimately suggest reasonable parameters to set our oscillating vegetation model. Radar parameters for the simulations are chosen from suggestions in [5], and are shown in Table 1. We assume that R 0 = 25m and the oscillation is with a period T f = 3s as well as different magnitudes (A f = 0.05, 0.1 and 0.3m), as shown in Fig.…”

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

“…A number of technologies have been used for human detections, including computer vision [2], lidar [3], radio frequency identification devices (RFID) [4] and radar [1], [5][6][7]. Computer vision and lidar performance is degraded in dusty, foggy and non-line-of-sight environments.…”

“…Multistatic radar with a low frequency wideband transmitting signal has fine localization precision, a large covered area, and the ability to penetrate the foliage [5], [8]. It is highly suitable for foliage-penetration surveillance.…”