scholarly journals MIMO Radar Parallel Simulation System Based on CPU/GPU Architecture

Sensors ◽  
2022 ◽  
Vol 22 (1) ◽  
pp. 396
Author(s):  
Gaogao Liu ◽  
Wenbo Yang ◽  
Peng Li ◽  
Guodong Qin ◽  
Jingjing Cai ◽  
...  
Keyword(s):  
Signal Processing ◽  
High Speed ◽  
Mimo Radar ◽  
Parallel Simulation ◽  
Simulation System ◽  
Coarse Grained ◽  
Radar Signal ◽  
Radar Signal Processing ◽  
Signal Processing Algorithm ◽  
Gpu Architecture

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.

scholarly journals A MIMO Radar Signal Processing Algorithm for Identifying Chipless RFID Tags

Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8314
Author(s):  
Chen Su ◽  
Chuanyun Zou ◽  
Liangyu Jiao ◽  
Qianglin Zhang
Keyword(s):  
Signal Processing ◽  
Radio Frequency Identification ◽  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Processing Algorithm ◽  
Radar Signal ◽  
Main Beam ◽  
Radar Signal Processing ◽  
Rfid Tags ◽  
Signal Processing Algorithm

In this paper, the multiple-input, multiple-output (MIMO) radar signal processing algorithm is efficiently employed as an anticollision methodology for the identification of multiple chipless radio-frequency identification (RFID) tags. Tag-identifying methods for conventional chipped RFID tags rely mostly on the processing capabilities of application-specific integrated circuits (ASICs). In cases where more than one chipless tag exists in the same area, traditional methods are not sufficient to successfully read and distinguish the IDs, while the direction of each chipless tag can be obtained by applying MIMO technology to the backscattering signal. In order to read the IDs of the tags, beamforming is used to change the main beam direction of the antenna array and to receive the tag backscattered signal. On this basis, the RCS of the tags can be retrieved, and associated IDs can be identified. In the simulation, two tags with different IDs were placed away from each other. The IDs of the tags were successfully identified using the presented algorithm. The simulation result shows that tags with a distance of 0.88 m in azimuth can be read by a MIMO reader with eight antennas from 3 m away.

Radar signal processing algorithm and simulation of detection system

2020 ◽  
pp. 1-10
Author(s):  
Chunhuan Song ◽  
Fucai Qian
Keyword(s):  
Signal Processing ◽  
High Speed ◽  
Detection System ◽  
Diversity Gain ◽  
Processing Algorithm ◽  
Radar Signal ◽  
Radar Signal Processing ◽  
Threshold Detector ◽  
Signal Processing Algorithm ◽  
Scattering Coefficients

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.

scholarly journals Signal processing algorithm of ship navigation radar based on azimuth distance monitoring

2019 ◽  
Vol 10 ◽  
pp. 12
Author(s):  
Yuxin Qin ◽  
Yu Chen
Keyword(s):  
Signal Processing ◽  
Processing Algorithm ◽  
Radar Signal ◽  
Radar Signal Processing ◽  
Good Precision ◽  
Clutter Suppression ◽  
Constant False Alarm Rate ◽  
Sea Clutter ◽  
Signal Processing Algorithm ◽  
Ship Navigation

The effect of ship navigation radar signal processing has a great impact on the overall performance of the radar system. In this paper, the signal processing algorithm is studied. Firstly, the principle of radar azimuth and distance monitoring is introduced, then the pulse accumulation algorithm and median filtering algorithm are analyzed, and finally a sea clutter suppression algorithm based on sensitivity time control (STC) and a rain and snow clutter suppression algorithm based on constant false alarm rate are designed to improve the target monitoring performance of radar. In the test of the algorithm, the radar signal processing algorithm designed in this study has good precision as monitoring error of the target's azimuth and distance is controlled within 1%; and it also has a better suppression effect of sea clutter and rain and snow clutter, which can suppress the clutter well, improve the target clarity, and ensure the safe navigation of the ship. The experiment proves the effectiveness of the proposed algorithm and provides some theoretical basis for the better processing of radar signals, which is beneficial to improve the environment perception ability of ships in harsh environments and promote the further development of the navigation industry.

A Multi-Channel Radar Signal Process System

2010 ◽  
Vol 20-23 ◽  
pp. 884-888
Author(s):  
Cheng Fa Xu ◽  
Jun Ling Wang ◽  
Rong Gang Wu
Keyword(s):  
Signal Processing ◽  
High Performance ◽  
Processing System ◽  
General Purpose ◽  
Radar Signal ◽  
Radar Signal Processing ◽  
Signal Processing System ◽  
Signal Processing Algorithm ◽  
High Data ◽  
Advantages And Disadvantages

In order to meet multi-channel, high data rate, intensive computing capacity of modern radar signal processing, a standard, scalable, high-performance general-purpose radar signal processing system platform is proposed. The main processor of this system platform is the DSP and FPGA. In the analysis of different kinds of radar signal processing algorithm, and taking into account the respective advantages and disadvantages of DSP and FPGA, In this paper, a software architecture method for radar signal processing is given to decide how to distribute different algorithm into DSP and FPGA. At last, for a certain type of circular array radar, an implementation of radar signal processing by using the general-purpose radar signal processing system platform is proposed.

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