Tackling the different target dynamics issues in counter drone operations using passive radar

Abstract

This paper deals with the detection of small unmanned air vehicles (UAVs) and drones in high-density target scenarios such as airport terminal areas. In fact, in such conditions, strong reflections by high radar cross section (RCS) targets are likely to prevent the detection of very weak target echoes. In this work, we aim at overcoming this issue by taking advantage of long coherent processing intervals (CPIs) and by implementing a CLEAN-like multistage algorithm to remove the strongest target contributions. The effectiveness of the proposed strategy is first demonstrated against simulated data representing a typical scenario. Then, a preliminary experimental result is shown, obtained against data collected by the DVB-T based AULOS ® passive radar developed by Leonardo S.p.A..

A survey and analysis of drone detection systems using a systems approach superposed on scenarios

“…Aerial platform characteristics are dealt with low consideration in most papers (50%) although there are a few that provide better treatment of the aspect. 2,27,34 Cost considerations are dealt with in moderate consideration generally and only a third of them provide significant guidance information. This is in line with spending budgets of airports since they are high‐security assets.…”

“…CNN (convolutional neural network) and AI are promising for video processing. Inspection of measures A_DDS_Entropy, A_DDS_Entropy_Index in subtables of scenario scoring sheets T7–T9 (Figure 7) and scoring sheets T7'–T9'(Figure 8) reveal that artifacts identified by (1), 16 (3), 18 (4), 19 (6), 21 (9), 2 (14), 27 (16), 1 (17), 29 (18), 30 and (22), 34 provide significant information covering most aspects.…”

A Survey on Radar Techniques for Detection,Tracking, and Classification of Aerial Threats

“…Passive digital TV-based radar was used for the detection and tracking of UAVs in a highly cluttered scenario near airports in [231]. In [232] it was observed that the strong reflections from large RCS of commercial planes made software-based detection and tracking of small RCS UAVs difficult. Long coherent processing intervals and multi-stage CLEAN algorithms were, therefore, used to filter strong reflections from commercial planes.…”

A Survey on Radar Techniques for Detection,Tracking, and Classification of Aerial Threats

“…[252]- [254], [256] Experiments are conducted to detect and track a quadcopter using passive GSM radar achieving a high detection rate.…”

“…The strong reflections from large RCS of commercial planes make software-based detection and tracking of small RCS UAVs difficult. Long CPIs and multi-stage CLEAN algorithms are used to filter strong reflections from commercial planes in [256]. A measurement scenario is created with DVB-T based passive radar.…”