Long coherent integration times can be exploited in passive radar systems in order to broaden their coverage and to improve their target detection capability. However, proper strategies must be considered to compensate for the target migration effects that could limit the system performance when long coherent processing intervals are used.
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.
In this paper we address the problem of target’s range migration in passive bistatic radar exploiting long coherent integration times with fairly wideband signals of opportunity. We resort to the well-known Keystone Transform (KT) to compensate for the range walk effect and to take advantage of a higher coherent integration gain against targets with non-negligible radial velocity.
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