No abstract

No abstract

This paper presents a time-domain, Moving Target Indication (MTI) processing formulation for detecting slowmoving personnel behind walls. The proposed time-domain MTI processing formulation consists of change detection and automatic target recognition algorithms. We demonstrate the effectiveness of the MTI processing formulation using data collected by an impulse-based, low-frequency, ultra-wideband radar. In this paper, we describe our radar system and algorithms used for the automatic detection of moving personnel. We also analyze the false alarm and detection rate of four operational scenarios of personnel walking inside wood and cinderblock buildings.

No abstract

A spectrum sharing technique is introduced that passively monitors the RF spectrum for sub-bands of high signal to interference plus noise ratios (SINR) within a constrained bandwidth of interest. The goal of the proposed technique is to allow the radar to maintain high levels of SINR within selected frequency sub-bands in a highly congested RF environment. A sub-band is selected for radar that maximizes SINR and minimizes the range resolution cell size, two conflicting objectives. In this paper, a spectrum sensing experiment is conducted to collect multiple frequency spectra that are processed by the proposed technique. It will be shown that the proposed technique identifies frequency sub-bands of high SINR while maintaining range resolution requirements.