Kabakchiev Hristo, Behar Vera, Garvanov Ivan, Kabakchieva Dorina, Kabakchiev Avgust, Rohling Hermann
Faculty of Mathematics and Informatics, Sofia University, 1164 Sofia, Bulgaria.
Mathematical Methods for Sensor Data Processing Department, Institute of Information and Communication Technologies, 1113 Sofia, Bulgaria.
Sensors (Basel). 2021 Jan 11;21(2):465. doi: 10.3390/s21020465.
The paper analyses the possibility of Forward Scatter Radar (FSR) systems to detect airplanes using cosmic emission from pulsars and planets (pulsar, Sun, Moon). A suboptimal multichannel algorithm for joint detection and evaluation of the parameters of the forward scattering signal created by an airplane (duration and velocity) is proposed, with preliminary compensation of the powerful direct signal emitted by cosmic sources (pulsar, Sun and Moon). The expressions for calculation of the Signal-to-Noise Ratio (SNR) at the input of the detector and the compensator are obtained. The detection characteristics are also obtained, and the requirements for the suppression coefficient of the compensator are evaluated. A methodology for calculating the maximum distance for detecting an aircraft using a described algorithm is proposed. The obtained results show that due to the Forward Scatter (FS) effect, there is the theoretical possibility to detect airplanes at close ranges by FSRs, which use very weak signals from cosmic sources.
本文分析了前向散射雷达(FSR)系统利用脉冲星和行星(脉冲星、太阳、月球)的宇宙辐射来探测飞机的可能性。提出了一种次优多通道算法,用于联合检测和评估飞机产生的前向散射信号的参数(持续时间和速度),并对宇宙源(脉冲星、太阳和月球)发射的强大直接信号进行初步补偿。得到了探测器和补偿器输入端信噪比(SNR)的计算表达式。还获得了检测特性,并评估了补偿器抑制系数的要求。提出了一种使用所述算法计算探测飞机最大距离的方法。所得结果表明,由于前向散射(FS)效应,利用来自宇宙源的非常微弱信号的FSR在近距离探测飞机具有理论可能性。