Open AccessIncreasing the Radar Equivalent Energy Potential by “Track Before Detect” Method
Author(s) -
Sergei M. Kostromitsky,
V. M. Artemiev,
Denis S. Nefedov
Publication year - 2021
Publication title -
doklady nacionalʹnoj akademii nauk belarusi
Language(s) - English
Resource type - Journals
eISSN - 2524-2431
pISSN - 1561-8323
DOI - 10.29235/1561-8323-2021-65-4-404-411
Subject(s) - false alarm , constant false alarm rate , detection threshold , radar , track before detect , threshold limit value , energy (signal processing) , statistical power , computer science , false positive rate , low probability of intercept radar , range (aeronautics) , detection theory , artificial intelligence , statistics , algorithm , radar tracker , mathematics , continuous wave radar , real time computing , detector , engineering , telecommunications , radar imaging , aerospace engineering , medicine , environmental health
The problem of radar detection of small-sized targets using the traditional methods of selection of signals embedded in background noise is considered. It is shown that for a false alarm rate of 10 –5 , which provides for 1–2 false alarms within the entire coverage of the modern 3D radar, the probability of detection of a small-sized target is getting unacceptably low. Repeatedly decreasing the threshold can provide an acceptable level of the detection probability at ultra-low signal-tonoise ratio (SNR) values. At the same time, decreasing the threshold will result in an unacceptable increase of the false alarm rate. A new target detection procedure using the “track before detect” method (TBD) is proposed. In the TBD procedure, the target is considered detected when two conditions are met: the signal exceeds once a definite threshold; the target is detected within a strictly defined observation area (acquisition or tracking gate). For low SNR values in the range of 3–8 dB and equal false alarm rate, the detection probability increases by 20–50 % compared to the traditional detection method. The simulation results showed a strong dependence of efficacy of the TBD algorithm on the threshold value and the decision rule. The possibility is noted of adaptive control over the threshold due to the use the detection results in the preceding scanning cycles, as well as the introduction of matrix radar surveillance not only by the target coordinates and parameters, but also by the detection threshold, decision rules, etc. Examination of these issues is the subject of further research.