A Composite Pulse Modulated Signal Compression and DSP Implementation

2013 ◽  
Vol 734-737 ◽  
pp. 3244-3247
Author(s):  
Ben Cheng Yu ◽  
Zhi Hao Yin ◽  
Yong Yang ◽  
Zhi Feng Wang
Keyword(s):  
Signal Processing ◽  
Pulse Compression ◽  
Block Diagram ◽  
Signal Frequency ◽  
Radar Signal ◽  
Two Phase ◽  
Linear Frequency ◽  
Common Structure ◽  
Digital Pulse ◽  
Modulation Signal

Linear frequency modulated signal and the two-phase encoded signals are widely used in pulse compression radar system derived, based on the analysis of the two signals, a linear frequency modulated with chaotic two-phase coding complex modulated signals. Versatility advantages of simple structure, radar signal processing using DSP signal processing devices. TI's TMS320C6713 DSP as the core basis works to achieve a common structure, the composite modulation signal frequency domain digital pulse compression processing, given the realization of the system block diagram and pulse pressure results. The results showed that the composite modulation signal is easy to produce and handle, and works to achieve feasible.

A New Radar Signal Processing Architecture Based on Multi-Core Processor

2014 ◽  
Vol 556-562 ◽  
pp. 1618-1621
Author(s):  
Jia Liang Fan ◽  
Qiang Yang
Keyword(s):  
Signal Processing ◽  
Pulse Compression ◽  
Adaptive Beamforming ◽  
System Structure ◽  
Radar Signal ◽  
Radar Signal Processing ◽  
Test Results ◽  
Radar Systems ◽  
Multi Core Processor ◽  
Processing Architecture

Most radar systems based on the structure that contains many DSP chips. The system structure is always complex, and it is difficult to update. Nowadays, multi-core processor develops very fast. Compared with DSP chips, multi-core processor has better performance in signal processing field. In this paper, we present a signal processing architecture which based on multi-core processor. Pulse compression algorithms and PCI-E bus are discussed as two important technologies. Adaptive beamforming test results show that multi-core processor is able to achieve radar signal processing.

Design of Digital Pulse Compression System Based on FPGA

2014 ◽  
Vol 1049-1050 ◽  
pp. 1718-1721
Author(s):  
Yan Xin Yu ◽  
Chun Yang Wang ◽  
Yu Chen ◽  
Ke Yang
Keyword(s):  
Pulse Compression ◽  
Radar Signal ◽  
Real Time Processing ◽  
Compression System ◽  
Development Cycle ◽  
Short Development Cycle ◽  
Digital Pulse ◽  
Fast Processing ◽  
Linear Frequency Modulated Signal ◽  
High Degree

Pulse compression technology is one of the key technologies in the field of modern radar signal processing, can effectively solve the contradiction between action distance and resolution. In this paper, a radar digital pulse compression system is designed and implemented based on FPGA with linear frequency modulated signal. The digital pulse compression module is designed using FFT IP core which can be reused in different periods of DPC, respectively performing FFT and IFFT calculation, so that the hardware consumption is saved significantly. Therefore, compared with other systems, the system designed in this paper has the characters of fast processing speed, high degree of modularity, real-time processing and short development cycle.

scholarly journals USRP 2901 Based FM Transceiver with Large File Capabilities in Virtual and Remote Laboratory

2018 ◽  
Vol 14 (10) ◽  
pp. 193 ◽  
Author(s):  
Utlapalli Somanaidu ◽  
Nagarjuna Telagam ◽  
Nehru Kandasamy ◽  
Menakadevi Nanjundan
Keyword(s):  
Signal Processing ◽  
Carrier Frequency ◽  
Radio Signal ◽  
Block Diagram ◽  
Software Radio ◽  
Signal Amplitude ◽  
Front Panel ◽  
Dual Band ◽  
Signal Frequency ◽  
Vertical Antenna

The radio signal processing capability can be provided by Universal software radio peripheral (USRP) hardware. The received signal frequency can be controlled and transmitting the signal through wireless is possible by installing NI USRP utility configuration. The programmable USRP was running VI snippet program in block diagram panel with radio companion integrated through USB cable on windows 7 64 bit OS. With the parameters such as IQ rate, transmitter gain, carrier frequency along with device name which is given as ni2901_1 the students can able to tune the radio signal. In addition to this the students can able to record the FM signal and extract the IQ data and plot the spectrum of signal and analyze it using graph palette. The standard FM equation contains the modulation index, carrier frequency, message signal amplitude, frequency deviation and frequency sensitivity can also analyzed using LabVIEW. By using Carson’s rule the bandwidth of wideband FM signal can be calculated. In this project RF0 module is used USRP device is connected with dual band vertical antenna with 2.4 and 5GHz frequency as Tx1 and the receiver is connected to Tri band vertical antenna with 144, 400 and 1200 MHz. while transmitting red color will blink in the device for transmitting and green color indicates the received signal. The purpose of doing this experiment was to gain experience in signal processing and receive hands on experience with the USRP. This VI snippet program will support all file formats. Up sample we used in front panel should be -1 always and if large size files is transmitted the value should be increased. The iPhone received the signal with high quality using ear pods the students can able to listen all the information which is transmitted through USRP. Here the transmitted frequency we used in the front panel is 94.7 MHz. The transmitted signal through USRP is successfully tested in the campus of Institute of Aeronautical Engineering, Hyderabad, India.

scholarly journals Design and Implementation Pulse Compression for S-Band Surveillance Radar

2020 ◽  
Vol 7 (1) ◽  
pp. 20
Author(s):  
Kalfika Yani ◽  
Fiky Y Suratman ◽  
Koredianto Usman
Keyword(s):  
Signal Processing ◽  
High Speed ◽  
Pulse Compression ◽  
Continuous Wave ◽  
Radar Signal ◽  
Radar Signal Processing ◽  
Digital Platform ◽  
Range Resolution ◽  
Pulse Compression Radar ◽  
Cw Radar

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.

scholarly journals Processing Technology Based on Radar Signal Design and Classification

2020 ◽  
Vol 2020 ◽  
pp. 1-19 ◽  
Author(s):  
Jianping Ou ◽  
Jun Zhang ◽  
Ronghui Zhan
Keyword(s):  
Signal Processing ◽  
Pulse Compression ◽  
Digital Filtering ◽  
Theory And Practice ◽  
Processing Technology ◽  
Radar Signal ◽  
Radar Signal Processing ◽  
Signal Process ◽  
Doppler Method ◽  
Adaptive Radar

It is well known that the application of radar is becoming more and more popular with the development of the signal technology progress. This paper lists the current radar signal research, the technical progress achieved, and the existing limitations. According to radar signal respective characteristics, the design and classification of the radar signal are introduced to reflect signal’s differences and advantages. The multidisciplinary processing technology of the radar signal is classified and compared in details referring to adaptive radar signal process, pulse signal management, digital filtering signal mode, and Doppler method. The transmission process of radar signal is summarized, including the transmission steps of radar signal, the factors affecting radar signal transmission, and radar information screening. The design method of radar signal and the corresponding signal characteristics are compared in terms of performance improvement. Radar signal classification method and related influencing factors are also contrasted and narrated. Radar signal processing technology is described in detail including multidisciplinary technology synthesis. Adaptive radar signal process, pulse compression management, and digital filtering Doppler method are very effective technical means, which has its own unique advantages. At last, the future research trends and challenges of technologies of the radar signals are proposed. The conclusions obtained are beneficial to promote the further promotion applications both in theory and practice. The study work of this paper will be useful for choosing more reasonable radar signal processing technology methods.

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