Research and Realization of Phased Array Radar Functional Simulation System

2014 ◽  
Vol 513-517 ◽  
pp. 2954-2958
Author(s):  
Yu Zhang ◽  
Jun Wang

In order to diminish the simulation granularity of phased array radar simulation system, modeling the target track is really necessary. This paper adds the target track simulation module and coordinate conversion module to the original functional simulation system of the phased array radar, thereby presents the frame construction, additional mathematical modules and simulate procedure of the improved simulation system. The phased array radars functional simulation system is proposed for the realization of the actual simulation software system. The simulation result verifies the efficiency of modeling method and mathematical modules.

2013 ◽  
Vol 385-386 ◽  
pp. 1476-1479 ◽  
Author(s):  
Li Xin Li ◽  
Yan Zhong Hao ◽  
Hui Chen ◽  
Yan Chun Liu ◽  
Hui Liu ◽  
...  

Analyzing the current developing status and actual problems of radar system simulation, based on continuous system simulation, combining signal simulation and function simulation, considering current development of simulation technique and the request of air battle to EW, the simulation system of phased array radar based on MATLAB/SIMULINK is presented and designed, which conquered the contradiction between simulation precision and real-time characteristic. And the key techniques of composition, modeling and exploitation of modules are studied in-depth. The simulation system is checked and tested by illustration of one jamming to phased array radar system in the end. Simulation is carried out whose result verifies the efficiency. The successful exploitation of the system will supply the analyses evaluation of the whole simulation system efficiency with platform and basis, which has instructive sense for the tactical use and simulation of phased array radar.


2011 ◽  
Vol 57 (1) ◽  
pp. 55-63
Author(s):  
Reza Mofrad ◽  
Ramazan Sadeghzadeh

A New Algorithm for Phased Array Radar Search Function Improvement in Overload SituationsA new algorithm is proposed for phased array radar search function resource allocation. The proposed algorithm adaptively priorities radar search regions and in overload situations, based on available resources, radar characteristics, maximum range and search regions, optimally allocates radar resources in order to maximize probability of detection. The performance of new algorithm is evaluated by the multifunction phased array radar simulation test bed. This simulation test bed provides capability to design and evaluate the performance of different radar resource management, target tracking and beam forming algorithms. Some results are presented that show capabilities of this simulation software for multifunction radar algorithms design and performance evaluation.


2020 ◽  
Author(s):  
Vanda Grubišić ◽  
Wen-Chau Lee ◽  
Louis L. Lussier

<p>This paper presents a configuration of a novel, airborne phased array radar (APAR) motivated by major advances in cellular technology, component miniaturization, and radar antenna simulation software. This has paved the way for a next-generation radar being designed by NCAR/EOL to be installed on the NSF/NCAR C-130 aircraft. The APAR system will consist of four removable C-band active electronically scanned arrays (AESA) strategically placed on the fuselage of the aircraft. Each AESA measures approximately 1.5 x 1.5 m and is composed of 2368 active radiating elements arranged in a total of 37 line replaceable units (LRU). Each LRU is composed of 64 radiating elements that are the building block of the APAR system.</p><p> </p><p>Polarimetric measurements are not available from current airborne tail Doppler radars. However, APAR, with dual-Doppler and dual polarization diversity at a lesser attenuating C-band wavelength, will further advance the understanding of the microphysical processes within a variety of precipitation systems<em>. </em>Such unprecedented observations, in conjunction with the advanced radar data assimilation schema, will be able to address the key science questions to improve understanding and predictability of significant weather.</p><p>A Mid-scale Research Infrastructure proposal is submitted to the National Science Foundation to request the implementation cost. The development is expected to take ~5 years after the funding is in place. It adopts a phased approach as an active risk assessment and mitigation strategy. At the present time, both the National Science Foundation and the National Oceanic and Atmospheric Administration are funding the APAR project for risk reduction activities. The APAR Team is actively seeking partners in industry and in the university community. An APAR science and engineering advisory panel has been organized.</p><p> </p><p>The authors will review the overall design and current progress of APAR and outline ambitious future development work needed to bring this exceptional tool into full operation.</p>


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