Algorithms for target ISAR signature reconstruction
Research output: Other conference contribution › Paper, poster or abstract › Professional
|Number of pages||11|
|Publication status||Published - 9 May 2018|
|Event||3rd Meeting of NATO SET-RTG-251 “Ship radar signature management – benefit to ships” - Finnish Naval Academy, Helsinki, Finland|
Duration: 24 Apr 2018 → 27 Apr 2018
|Other||3rd Meeting of NATO SET-RTG-251 “Ship radar signature management – benefit to ships”|
|Abbreviated title||Meeting of NATO SET-RTG-251|
|Period||24/04/18 → 27/04/18|
ISAR is used for high-resolution radar imaging of moving targets. The most essential part of the ISAR processing is the estimation and compensation of the relative motion between the target and the radar. Conventional algorithms are starting to suffer from performance limitations as the spatial resolution of modern ISAR systems increases. They rely on several approximations and simpliﬁcations, which are used to divide the problem into several successive steps.
The methods discussed in this paper reduce the computational burden of ISAR processing and signiﬁcantly increase the image quality in the case of complex target motions. The conventional stepwise approach ﬁrst estimates and compensates for the translational motion and then the rotational motion of the target. This paper describes several improvements to the
stepwise approach. The use of more generally applicable time domain image reconstruction algorithms has been limited due to the limited available computing power. In this paper, a contrast optimization algorithm for time domain back-projection-based ISAR imaging is described. It is shown to increase imaging performance under the most challenging motion compensation scenarios. This direct approach optimizes both the translation and rotation simultaneously.
An application of multichannel synthetic aperture radar system is discussed regarding ground moving target indication (MTI) and imaging. The described approach consisting of MTI, clutter cancellation and ISAR processing is shown to be feasible for imaging of moving targets. Simulation of ISAR signatures is considered brieﬂy from the viewpoint of ATR, where estimating
the target heading is one of the main issues. A method for modeling the uncertainty of the heading estimate is also discussed.