Design of PowerPC-Based Radar Universal Signal Processing Unit

2013 ◽  
Vol 760-762 ◽  
pp. 1360-1363
Author(s):  
Ji Yong He ◽  
Xiang Guang Chen
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
Rapid Development ◽  
Superior Performance ◽  
Radar Signal ◽  
Time Signal ◽  
Processing Unit ◽  
Complex Data ◽  
Interface Definition ◽  
Signal Processing Unit

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.

scholarly journals Optimal nonlinear fi ltering of stochastic processes in rescue radar

2021 ◽  
Vol 26 (3) ◽  
pp. 18-23
Author(s):  
O. Sytnik ◽  
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
Markov Processes ◽  
Adaptive Filter ◽  
Optical Sensors ◽  
Minimum Mean Square Error ◽  
Radar Signal ◽  
Radar Signal Processing ◽  
Processing Unit ◽  
Signal Processing Unit

Subject and Purpose. Smoke, fog, avalanches, debris of collapsed structures and other optically opaque obstacles in both natural and man-made disasters make optical sensors useless for detecting victims. Electromagnetic waves of the decimeter range penetrate well almost all obstacles, reflect from the trapped people and return to the radar receiver. Due to the breathing and heartbeat, the human-reflected sounding signals get the Doppler phase modulation, which is an information signal. These information signals and their properties provide the subject matter for the present research with the aim to create optimal methods and algorithms of random event processing for the prompt location of survivors by rescuers. Method and Methodology. The method of stochastic analysis of the fluctuation Doppler spectra of reflected sounding signals shows that the information signals have properties of conditional Markov processes. Results. The problem of optimal nonlinear filtering of conditional Markov processes entering the radar signal processing unit has been examined closely. An optimal adaptive filter has been proposed to reduce the masking effect of interferences caused by non-stationary noises and sounding signal reflections from stationary objects. The optimality criterion is the minimum mean square error function whose current value is evaluated in real time during the filtering process as the statistics is accumulated. The filter coefficients are calculated by the recurrent, steepest descent algorithm. The real-time work is carried out through the use of fast Fourier transform algorithms. Conclusion. The structure of the optimal adaptive filter to be built into the radar signal processing unit has been developed. Real radar signals have shown that the optimal filtering during the signal processing in systems designed for detecting live people by their breathing and heartbeat facilitates the interpretation of the observed signals. Some spectra of real signals generated by human breathing and heartbeat are presented.

scholarly journals Development of a real-time signal processing unit for diamond detectors of ITER Vertical Neutron Camera

2021 ◽  
Vol 253 ◽  
pp. 03002
Author(s):  
Michael Zhuravlev ◽  
Grigorii Nemtcev ◽  
Nikita Nagornyi ◽  
Sergey Meshchaninov ◽  
Roman Rodionov ◽  
...  
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
Phase 1 ◽  
Digital Signal ◽  
Preliminary Test ◽  
Time Signal ◽  
Processing Unit ◽  
Test Results ◽  
Operation Phase ◽  
Signal Processing Unit

CVD Diamond Detectors are going to be used in a number of neutron diagnostics of the International Thermonuclear Experimental Reactor (ITER) during its power operation phase [1]. One of such diagnostics is the Vertical Neutron Camera (VNC), which is being developed by the ITER Russian Domestic Agency (Institution “Project Center ITER”). In VNC Diamond detectors are used for real-time neutron flux and neutron spectrum measurements. In this paper we present current advancements in the development of a digital signal processing unit for the VNC diamond detector measurement channel. We give an overview of the signal properties, hardware requirements and firmware/software solutions used in the current version of the signal processing unit. We also present preliminary test results for this measurement system and explain the discovered problems and possible solutions.

TIME-DOMAIN INTERPOLATION ON GRAPHICS PROCESSING UNIT

2011 ◽  
Vol 04 (01) ◽  
pp. 89-95 ◽  
Author(s):  
XIQI LI ◽  
GUOHUA SHI ◽  
YUDONG ZHANG
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
Time Domain ◽  
Processing Time ◽  
Graphics Processing Unit ◽  
Interpolation Method ◽  
Time Signal ◽  
Processing Unit ◽  
Graphics Processing ◽  
Sd Oct

The signal processing speed of spectral domain optical coherence tomography (SD-OCT) has become a bottleneck in a lot of medical applications. Recently, a time-domain interpolation method was proposed. This method can get better signal-to-noise ratio (SNR) but much-reduced signal processing time in SD-OCT data processing as compared with the commonly used zero-padding interpolation method. Additionally, the resampled data can be obtained by a few data and coefficients in the cutoff window. Thus, a lot of interpolations can be performed simultaneously. So, this interpolation method is suitable for parallel computing. By using graphics processing unit (GPU) and the compute unified device architecture (CUDA) program model, time-domain interpolation can be accelerated significantly. The computing capability can be achieved more than 250,000 A-lines, 200,000 A-lines, and 160,000 A-lines in a second for 2,048 pixel OCT when the cutoff length is L = 11, L = 21, and L = 31, respectively. A frame SD-OCT data (400A-lines × 2,048 pixel per line) is acquired and processed on GPU in real time. The results show that signal processing time of SD-OCT can be finished in 6.223 ms when the cutoff length L = 21, which is much faster than that on central processing unit (CPU). Real-time signal processing of acquired data can be realized.

Design and Performance Testing of Proportioning Weighing Instrument Based on Position PID

2013 ◽  
Vol 433-435 ◽  
pp. 821-824
Author(s):  
Ding Han ◽  
Cai Xia Xue ◽  
Zhi Weng ◽  
Li Hong Li
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
Performance Testing ◽  
Processing Unit ◽  
Coking Coal ◽  
Dead Band ◽  
Real Time Clock ◽  
Integral Separation ◽  
And Performance ◽  
Signal Processing Unit

To accomplish the requirement of Coking Coal Company, we design proportioning belt weighing [1] and its instrument; it also can be used in metallurgy and material industries. The instrument controller is comprised of microcontroller, signal processing unit, shaping circuit, real time clock and so on, its program arithmetic adopt integral separation position PID with dead band .the whole proportioning weighing instrument can not only show accumulative value but also adjust the quantity of instantaneous materials. Last, the result of experiment meet fully the GB/T 7724-1999 standard for the proportioning belt weighting instrument displaying controller requirements.

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
Keyword(s):  
Signal Processing ◽  
Multiple Scattering ◽  
High Speed ◽  
Rapid Development ◽  
Science And Technology ◽  
Radar Signal ◽  
Surface Element ◽  
Time Signal ◽  
Radar Signal Processing ◽  
Stealth Technology

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.

Design and Implementation of High Speed and Real-Time SAR Signal Processing Module Based on TMS320C6678

2014 ◽  
Vol 556-562 ◽  
pp. 4313-4316 ◽  
Author(s):  
Yang Feng ◽  
Shan Qing Hu ◽  
Qing Li ◽  
Teng Long
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
High Speed ◽  
Processing System ◽  
Radar Signal ◽  
Time Signal ◽  
Mass Storage ◽  
Processing Module ◽  
Airborne Sar ◽  
Signal Processing Module

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.

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