scholarly journals Electromagnetic Occlusion Algorithm Based on FPGA and Panel Grouping and Its Optimization

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Junfeng Ge ◽  
Ning Li ◽  
Jianying Cao

With the development of digital signal processing and advanced algorithms, real-time signal processing based on FPGA and DSP is suitable for high-speed radar signal processing. With the rapid development of science and technology, war has entered the information age guided by high technology, and advanced science and technology has played a vital role in the trend of war. In recent years in the modern war, many countries invest a lot of research effort on the stealth technology, and advanced stealth technology can use a variety of technical means to alter or weaken the feature information of the target, confuse the enemy radar detection system effectively, reduce the chance of being detected to the largest extent, and prolong the lifecycle of aircraft and weapons. This research mainly discusses the electromagnetic occlusion algorithm and its optimization based on FPGA and panel grouping. The FPGA model selected for this study is XC6VLX240T-1FF1156I. Because the amount of data processed here is not very large, the cache part directly uses the on-chip storage resources of the FPGA, and the AD device is used to perform analog-to-digital/digital-to-analog conversion on the signal and perform digital up-down conversion. For a facet, it is necessary to first verify whether it is a bright facet and set the flag to mark it, then the facet needs to be occluded with the triangular facet marked as a bright facet, and all bright facets that have been marked need to be traversed. Open MP parallelization of the occlusion algorithm is as follows: The physical optics method is used to calculate the target RCS, and the focus of parallelism is placed on the part with a large amount of calculation. When using Open MP to design a program on a multicore computer, each group is assigned a thread to give full play to the core computing power. The total field is scattered and superimposed by each surface element. This part uses the parallel processing mode of Open MP, which allows the panel judgment in the group to be carried out at the same time. This part requires schedule to allocate resources and use different parallel mechanisms for different calculations to optimize debugging. In the angular range where there is multiple scattering at 0 ° ≤ φ ≤ 90 ° , the calculation results and the measurement results are in good agreement, and when the two planes are simulated with 1820 triangular faces, the fast multiple scattering in this paper only needs 4 minutes. This research has realized the general radar signal processing method based on FPGA structure, and the design has important engineering realization significance.

2013 ◽  
Vol 760-762 ◽  
pp. 1360-1363
Author(s):  
Ji Yong He ◽  
Xiang Guang Chen

With the rapid development of radar system, it has put forward higher requirements in the ability of real-time signal processing, the capability of data processing and the versatility of signal processing platforms. The signal processing unit based on PowerPC processor MPC8640D can complete the calculation of complex data using the superior performance of the processor. The combination of embedded operating system VxWorks can meet the real-time requirement of the radar signal processing perfectly. Universal IO interface definition of PowerPC processors make the designed signal processing unit own excellent versatility. The use of muti-beam digital synthesis technique and the vector library in software development improves the signal processing further more.


Author(s):  
Kalfika Yani ◽  
Fiky Y Suratman ◽  
Koredianto Usman

The radar air surveillance system consists of 4 main parts, there are antenna, RF front-end, radar signal processing, and radar data processing. Radar signal processing starts from the baseband to IF section. The radar waveform consists of two types of signal, there are continuous wave (CW) radar, and pulse compression radar [1]. Range resolution for a given radar can be significantly improved by using very short pulses. Pulse compression allows us to achieve the average transmitted power of a relatively long pulse, while obtaining the range resolution corresponding to a short pulse. Pulse compression have compression gain. With the same power, pulse compression radar can transmit signal further than CW radar. In the modern radar, waveform is implemented in digital platform. With digital platform, the radar waveform can optimize without develop the new hardware platform. Field Programmable Gate Array (FPGA) is the best platform to implemented radar signal processing, because FPGA have ability to work in high speed data rate and parallel processing. In this research, we design radar signal processing from baseband to IF using Xilinx ML-605 Virtex-6 platform which combined with FMC-150 high speed ADC/DAC.


Sensors ◽  
2022 ◽  
Vol 22 (1) ◽  
pp. 396
Author(s):  
Gaogao Liu ◽  
Wenbo Yang ◽  
Peng Li ◽  
Guodong Qin ◽  
Jingjing Cai ◽  
...  

The data volume and computation task of MIMO radar is huge; a very high-speed computation is necessary for its real-time processing. In this paper, we mainly study the time division MIMO radar signal processing flow, propose an improved MIMO radar signal processing algorithm, raising the MIMO radar algorithm processing speed combined with the previous algorithms, and, on this basis, a parallel simulation system for the MIMO radar based on the CPU/GPU architecture is proposed. The outer layer of the framework is coarse-grained with OpenMP for acceleration on the CPU, and the inner layer of fine-grained data processing is accelerated on the GPU. Its performance is significantly faster than the serial computing equipment, and satisfactory acceleration effects have been achieved in the CPU/GPU architecture simulation. The experimental results show that the MIMO radar parallel simulation system with CPU/GPU architecture greatly improves the computing power of the CPU-based method. Compared with the serial sequential CPU method, GPU simulation achieves a speedup of 130 times. In addition, the MIMO radar signal processing parallel simulation system based on the CPU/GPU architecture has a performance improvement of 13%, compared to the GPU-only method.


2014 ◽  
Vol 556-562 ◽  
pp. 4313-4316 ◽  
Author(s):  
Yang Feng ◽  
Shan Qing Hu ◽  
Qing Li ◽  
Teng Long

In order to meet the requirements of high speed and real-time in SAR processing system, as well as breaking the bondage that traditional processing board is subject to the algorithm. This paper designs a generic mass storage real-time signal processing module with TI's latest multi-core DSP-TMS320C6678 based on OpenVPX high-speed serial bus standard. This module has standardized, modularized, reconfigurable characteristics. This paper discusses the design of this module and the implementation of typical parallel SAR imaging algorithm mapping on this module. This peocessing module has been applied in a variety of airborne SAR radar signal processing systems and fully validated its powerful processing ability and versatility.


2020 ◽  
pp. 1-10
Author(s):  
Chunhuan Song ◽  
Fucai Qian

With its unique array arrangement, the detection system radar has both space diversity gain and waveform diversity gain, and is currently recognized as a stealth target buster. The detection system radar is applied to a high-speed moving platform. Using distributed cooperative detection technology, non-coherent fusion detection based on signals can further improve the detection of stealthy targets. Aiming at the high-speed motion radar signal processing algorithm, this paper mainly studies the following three aspects: the first content is the analysis of the waveform characteristics: the basic principles and characteristics of the radar are explained; then the three orthogonal waveforms commonly used in the radar are introduced, including Stepwise frequency division chirp signal, quadrature phase coded signal and mixed-signal; the second content detects radar targets and analyzes the correlation between the scattering coefficients of different radar channels; for scenarios where the scattering coefficients between the channels are non-coherent Introduced two kinds of non-coherent fusion detectors based on generalized likelihood ratio algorithm: centralized detector and double threshold detector; the third content radar multi-target pairing is aimed at the problem of radar multi-target pairing with large inertial navigation error. A multi-target pairing algorithm that uses target delay information and combines the radar’s multi-channel information redundancy characteristics is presented. An expression for judging the correctness of target pairing is derived, and the target pairing steps are given. The relationship between the amount of algorithm operation and the number of radar stations and the number of targets is analyzed in conclusion.


2012 ◽  
Vol 461 ◽  
pp. 333-337 ◽  
Author(s):  
Shun Xin Li ◽  
Yu Fan Mo

Based on the high-speed, real-time and high precision of radar signal processing, FFT arithmetic is utilized in the radar signal processing and FFT processor is designed and implemented. The proposed processor adopts radix-2 FFT algorithm. FFT computing based on FPGA has the advantages of high speed, less resource occupancy, easy algorithm and convenient system debugging and implementation. It is composed employing VHDL as hardware description language, FPGA as the logic controller, Quartus II as designing and synthesis simulation tool. The simulation results indicated FFT processor approached the request of the radar signal processing and it is suitable for the application of high-speed signal processing


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