Moving Target Detection by Using New Lte-Based Passive Radar

Abstract

This paper examines the feasibility of Long Term Evolution (LTE)-based passive radar for detecting ground moving targets. Specifically, the focus of this paper is to describe the proposed LTE-based passive radar system and to conduct an experiment using a real LTE eNB transmitter as an illumination source. Seven scenarios were carried out to investigate the detection performance of the proposed system on ground moving targets with different speeds, trajectories and range. In addition, multi-target detection was also tested. The experimental results showed that the LTE-based passive radar system has the capability to detect typical ground targets like cars, motorbikes and humans moving at different trajectories. LTE is a new communication system and very few experimental result with real LTE signal has been published, thus the result and analysis from this paper will complement the technical readiness of the so called LTE based passive Radar. The positive results opened up a new frontier for passive radar systems to be used in many potential applications, including security, border protection, microwave fences, monitor of buildings and others.

Recognizing and Counting Freehand Exercises Using Ubiquitous Cellular Signals

“…Recently, LTE-based passive radar [ 19 ] achieves moving target detection via Doppler resolution. Chen et al [ 20 ] recognized dynamic hand gesture interaction by analyzing CSI extracted from LTE signals.…”

Multitarget Joint Delay and Doppler-Shift Estimation in Bistatic Passive Radar

“…When the main lobe of the SC antenna's radiation pattern is wider or there is an array of antennas connected to SC, then reflected signals from multiple targets is captured in the surveillance channel. In [6,18,19], such SC antenna configuration is used in BPR system to detect multiple targets using the CC estimator, whereas for MPR system the group sparsity based algorithm for multiple target tracking using only Doppler measurements is proposed in [20]. Particularly for our focused BPR system, recently GLRT based multiple targets joint delays and Doppler shifts estimation algorithms are derived in [21][22][23].…”

“…Although, the multi-target delay and Doppler shift estimation problem has been tackled in different ways in the work cited above in section 1.2, there are some limitations in those research studies. Firstly, in the studies in [6,18,19,[21][22][23] the two dimensional delay-Doppler uncertainty space is dicretized into small bins and then detection is performed on each bin in a sequential manner. Such discretization of the parameter space compromises its resolution which may result in a straddle loss and degraded performance of the detector.…”

“…We consider the case when the RC observation is noisy and the direct path interference from the SC observation has been removed by using a directional antenna and some signal processing techniques as mentioned in [14][15][16] and the references therein. Moreover, we follow [12,13] In [6,18,19], CC was used to localize multiple targets in a bistatic passive radar system.…”

Simulation and Detection Performance Evaluation of a UAV-mounted Passive Radar

“…• Global Navigation Satellite Systems (GNSS) [6] • Wi-Fi [7] • Digital Video Broadcasting-Terrestrial (DVB-T(2)) [8], [9] • Global System for Mobile communications (GSM) [10] and Long-Term Evolution (LTE) [11], [12], GNSS-based techniques have some advantages since the signals are available globally and they do not interfere as in cellular type systems. Theoretical range resolution is about 15 m, but due to the low signal strength, the detected target should have large radar cross-section (RCS) (about 50 m 2 [6]), which is not the case for a typical UAV.…”