A need exists for greater situational awareness at the lower echelons of the Army. Radar Frequency (RF) sensors on small, lightweight Unmanned Aerial Vehicles (UAV) could provide lower echelon commanders with all-weather reconnaissance, early warning, and target acquisition; however, the designs of these RF sensors are limited by the projected size and weight restrictions on the payload for a class II UAV. Consequently, these designs may favor combining simple RF sensor hardware with digital-signal processing (DSP) solutions over more sophisticated radar hardware. In this paper, we show the potential of simple, low cost RF sensors with hemispherical antenna coverage to overcome these limitations. The proposed RF sensor system used DSP and pre-defined UAV flight pattern to detect and track moving targets from range and Doppler information. Our objective is to conceive and model a suite of software options that, by combining UAV flight patterns and processing algorithms, will be able to detect and track moving targets. In order to accomplish this, we are building a simulation that uses sensor models, target models, and battlefield dynamics to predict the targeting capabilities of the RF sensor system. We will use this simulation (1) to determine the tradeoffs between sensor complexity (and cost) and the military significance of the information gathered, and (2) to describe sensor error budgets for endgame lethality models


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    RF sensor solutions for small lightweight unmanned aerial vehicles


    Contributors:

    Conference:

    Radar Sensor Technology IX ; 2005 ; Orlando,Florida,United States


    Published in:

    Publication date :

    2005-05-16





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Collaborative Solutions for Unmanned Aerial Vehicles

    Fabra, Francisco / Sanguesa, Julio A. / Zamora, Willian et al. | Springer Verlag | 2021


    Sensor Design for Unmanned Aerial Vehicles

    Stuart, D. M. / IEEE; Aerospace and Electronics Systems Society | British Library Conference Proceedings | 1997



    Lightweight multifunctional unmanned aerial vehicle

    YANG KUN / LONG YONG / ZHANG PENGYU | European Patent Office | 2025

    Free access

    UNMANNED AERIAL VEHICLES

    NUÑEZ FERNANDEZ ALBERTO / HILARIO SERRANO EDUARDO / SERRANO MONTERO CESAR | European Patent Office | 2024

    Free access