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The outcome of NATO SET-195 RTG concerning “Short term verification of DMPAR concept” gave promising results in the subject of centralized and decentralized fusion. Basing on this concept and study we further expand it to not only compare results of signal and data fusion, but also propose a processing framework in which both cueing and threshold management can be used. In this paper we present our approach and through simulation we show its performance.

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. An idea of DMPAR was to combine active and passive surveillance components in a collocated and distributed net of sensors, which would bring multiple benefits. By focusing on one of the trial scenarios, the paper describes all of them, in a form of the measured data analysis. Beside the trials, positive aspects of the combined active and passive surveillance components are discussed.

The paper presents a concept of a versatile signal processor designed for a modern, active electronically scanned array (AESA) radar. The flexibility of the design is high enough to support most advanced modes of operation, including multiple-input multiple-output (MIMO) modes and cognitive radar control, reacting in real time to changing air situations. The required signal processing power calculations are provided together with hardware solutions meeting high computational power and low latency requirements.

To protect radar against missile attacks a system of additional microwave signal emitters is used. These so-called traps or decoys should emit pulses that might hinder the precise targeting of the protected source by forming a composed microwave radiation signal. The simulation model of the radar system and radar traps is proposed. The designed simulation model allows to estimate the probability of survival of the system for given scenarios of missile attacks leading to the calculation of a certain statistics of protection.

The topic of data fusion on the level of plots in a multistatic, multiband netted radar is widely recognized as a topic of interest in the radar community. PCL-PET system currently under development in PIT-RADWAR S.A. is an example of such approach. Earlier analyses have shown, that unique capabilities provided by the two types of the passive sensors will greatly enchance parameters of the combined sensor. The plot correlation and de-ghosting algorithm has proven to be the most computationally complex problem in the PCL-PET fusion. In this paper we present some remarks concerning the nature of this computational complexity along with results of simulations showing complexity scaling with the changing simulation parameters. We also present our simulation software being developed for further analysis of the topic.

The aim of this paper is to evaluate performance of three radar system concepts that act as a sensor for ground based missile defence focused on defending an asset of critical importance. The signal model and processing scheme is presented and discussed. Appropriate multi-band fusion algorithms for collocated and dislocated sensors have been implemented and used to improve overall sensor efficiency. Obtained results illustrate possible benefits and limitations to system's performance. Implemented algorithms and created testbench will give chance to evaulate multi-band systems in more complicated scenarios.

In this article we discuss certain aspects of compressed sensing application in the context of radar systems. We thoroughly analyze the framework of the paper [4] and propose the directions of generalizations. In particular we consider a rectangle time frequency grid of non-prime type, non-Allotop carrier signals of the length non-equal to the length of time grid, incoherent carrier and grid frequency units. Finally we discuss the measurement aspects, stressing that the number of measurements may be smaller then the time grid of the time frequency plain. We present the results of simulations confirming that under some condition the compressed sensing performs well in our context.