# RADAR SIGNAL ANALYSIS AND PROCESSING USING MATLAB PDF

RADAR SIGNAL. ANALYSIS AND. PROCESSING USING. MATLAB®. Bassem R. Mahafza. deciBel Research Inc. Huntsville, Alabama, U.S.A.. (g) CRC Press. Radar Signal Analysis and Processing Using MATLAB. FULL ACCESS online and download this title. DownloadPDF MB Read online. Mahafza B.R. Radar Signal Analysis and Processing Using MATLAB. Файл формата pdf; размером 10,24 МБ. Добавлен пользователем Shushimora.

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International Standard Book Number (eBook - PDF). This book contains . standing of radar design, analysis, and signal processing. MATLAB® and Simulink® are trademarks of The MathWorks, Inc. and are used with permission. The. MathWorks does not warrant the accuracy. Radar Signal Analysis and Processing Using MATLAB. (). The ratio of the pulse width to the PRI is called transmit duty cycle, denoted by.

Figure 1 Block diagram of the radar system The software algorithms were built to be so flexible and reliable for user.

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The radar screen page shows the radar trace traveled within the radar screen. The range circles or the longitude and lalitude coordinates can be selected by one of the selection keys.

In the initialization page the user can initialize the following radar variables: Up to 12 parameters of the target information can be initialized in the target page. The addition point was fed with the direct input signal, while this signal was fed to the subtracted point after passing through the digital delay line.

## Radar Signal Processing using MATLAB - TechSource Systems

The digital delay line parameter must be chosen to be equal to the number of the SYNC duration samples. The block diagram of the Simulink circuit is shown in figure 3. The reflected signal from the moving target was implemented by using FM modulation block and pulse generator block with sum of the mathematical blocks. While at the receiver side, same FM modulation block will be used with zero input value to represent the based carrier signal. Multiplier block with low pass filter block which represents the phase detector subsystem were also used.

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The synchronization between the three FM modulation blocks allows using them as the same reference signal. The MATLAB Simulink phase detector simulation programs were tested with various types of radars to generate the output of the phase detector signals. The target was simulated within random Gaussian noise signal.

The generated noise data were recorded in a data file. This data file was used by the radar system simulator unit to generate the simulated Gaussian noise signal. This signal was applied to the various simulated radar systems. A sample of the obtained results is shown in Fig. The upper trace is the MTI time gate pulse. The noise level is reduced as evidenced by comparing Fig.

Further noise reduction can be seen after using the matched filter. It can be concluded that the MTI system cannot cancel the entire noise signal and cannot separate the target signal from the noise signal.

However, by using the matched filter, the noise signal was reduced, and the target signal appeared in an acceptable level. Conclusions The designed radar system simulator has the flexibility to generate signals of various types of radars, so it can be used successfully for examining or developing MTI systems, range calculation, jamming or dejamming, and other radar digital signal processing applications.

Because of the flexibility of designing the two analog signals, the system can represent and generate the video signals at different stages of the radar system the output of the amplitude detectors, the output of the phase detectors, etc.

Choudhury, S. Gullapalli, S. Thesis, Dept. Al-Zubaidy, Khalil H. Sayidmarie, Saad S.

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Various MTI systems were studied and sample results for single canceller and matched filtering are shown. Introduction In modern radars, signal-processing algorithms such as FFT, linear filters, MTI, tracking and range calculations are needed. Real radar systems are not always available for developing and testing these algorithms.

Therefore, computer-based radar simulators were largely used in radar signal analysis and processing. A methodical model and computer simulation of weather radar signals was built [1]. The signals found in MTI systems are usually coherent pulse trains. For a moving target, the video output of the phase detector stage varies in amplitude on pulse to pulse due to the changing phase between the transmitted and received signals, while the amplitude remains constant.

However the phase will remain unchanged for static targets. Depending on this fact, different types of signal processing technique were used to build MTI systems, like the single canceller and double canceller. This contribution treats the simulation of pulse Doppler radar system by using PC.

The performance of various MTI systems was studied.

Double buffering memories each of 32Kbyte with 16bit width were used to add the ability of full ranging implementation. The two staggered pulse repetition frequencies PRF are needed for range calculation and to prevent blind speed for MTI system.

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Figure 1 Block diagram of the radar system The software algorithms were built to be so flexible and reliable for user. The radar screen page shows the radar trace traveled within the radar screen. The range circles or the longitude and lalitude coordinates can be selected by one of the selection keys.

In the initialization page the user can initialize the following radar variables :- SYNC pulse width, the two SYNC period repetitions, and the rotation speed of the radar antenna in turns per minute. Up to 12 parameters of the target information can be initialized in the target page.

The addition point was fed with the direct input signal, while this signal was fed to the subtracted point after passing through the digital delay line. The digital delay line parameter must be chosen to be equal to the number of the SYNC duration samples.

The block diagram of the Simulink circuit is shown in figure 3. The reflected signal from the moving target was implemented by using FM modulation block and pulse generator block with sum of the mathematical blocks.The upper trace is the MTI time gate pulse.

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Therefore, computer-based radar simulators were largely used in radar signal analysis and processing. Range, radial speed, and direction of arrival measurements are estimated for the CFAR detections. Handwritten Digit Recognition using Deep Convolutional Neural Networks januar — maj The University of Notre Dame is a private research university inspired by its Catholic character to be a powerful force for good in the world. There are also good monographs on advanced and specialty topics like synthetic aperture imaging.

The reflected signal from the moving target was implemented by using FM modulation block and pulse generator block with sum of the mathematical blocks.

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