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Synthetic aperture radar tomography, or volume imaging with a side-looking radar uses a two-dimensional aperture made of several antenna paths along more or less parallel trajectories. The carrier motion providing the along track extension of the aperture, and the across-track extension is provided by multiple cross-track antenna or by repeated acquisition along parallel lines. The relative position...
The paper addresses a problem of ballistic object trajectory estimation on the basis of measurements from a cinetheodolite electro-optical tracking system. The object flight dynamics is modeled using a three degrees of freedom equations of motion. The estimation of object trajectory is performed with the use of an Extended Kalman Filter.
One of the most fundamental tasks in autonomous driving is the recognition of the road ahead. Using radar data, this is usually done via rule based algorithms. This paper proposes a deep learning approach to estimate the course of the ego lane based on occupancy grids generated by radar sensors. The method is also able to simultaneously give a reliability measurement of the predicted driving path...
Appearance of tragedies like the lost flight MH370 should be eliminated or reduced and in this paper a technique based on the Doppler shift of radio sources of opportunity is suggested as an alternative technique of tracking aircraft. Such systems are based on simultaneous analysis of the Doppler shift caused by aircraft moving with respect to multiple radio signal sources and network of receivers...
Passive radar detection systems based on Global Navigation Satellite System (GNSS) signals have the advantages of wide coverage, long detecting distance and good concealment. If effectively combined with the forward scatter radar (FSR) principle, it can be used to monitor an important area, which is of great significance to national defense security. This paper mainly focused on the analysis of signal...
We present an algorithm that allows an interceptor aircraft equipped with an airborne radar to meet another air target (the intercepted) by developing a guidance law and automatically adapting and optimising the transmitted waveform on a pulse to pulse basis. The algorithm uses a Kalman filter to predict the relative position and speed of the interceptor with respect to the target. The transmitted...
Multifunction radars (MFR) have to achieve their capability requirements in an increasingly complex environment, populated with diverse and hostile targets (e.g. low RCS, low speed targets in clutter or high speed, ballistic targets) in saturating scenarios (due to e.g. RF interference or threats). These radar systems are increasingly exploiting active electronically scanned array (AESA) technology...
The paper presents a concept of the parametric autofocus method for Passive Inverse Synthetic Aperture Radar (ISAR) imaging of air targets. To create a focused ISAR image, the precise knowledge of an object trajectory is required. In this paper a theoretical model of the target motion and an algorithm for finding the best set of estimated motion parameters are described. Simulated results of ISAR...
The highly limited number of observation results in the increase of the prediction errors. In such case the linear Kalman filter (KF) will work within the unsteady state, which can lead to unpredictable results. The paper presents an alternative, simplified methods for the tracked object position prediction with the linearization of the trajectory. The obtained results are compared with the KF predictions...
In this paper DMPAR Evaluation Trials for Operationally Upgraded Radar (DETOUR) and their results for a selected scenario are described. The DETOUR trials were conducted by the SET-195 research task group (RTG) under an umbrella of NATO Science and Technology Organization from September 1 to 4, 2014 as a part of the DMPAR (Deployable Multi-band Passive/Active Radar) algorithms' evaluation process...
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