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.
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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.
The terms quefrency, alanysis, cepstrum and saphe were invented by the authors by rearranging some letters in frequency, analysis, spectrum and phase. The new invented terms are defined by analogies to the older terms. Unfortunately, editors unfamiliar with signal processing often change the invented words back to their originals. A short-time cepstrum analysis was proposed by Schroeder and Noll for application to pitch determination of human speech. It is also sometimes called the spectrum of a spectrum. The real cepstrum uses the logarithm function defined for real values.
A short-time cepstrum analysis was proposed by Schroeder and Noll for application to pitch determination of human speech. It is also sometimes called the spectrum of a spectrum. The real cepstrum uses the logarithm function defined for real values. Steps in forming cepstrum from time history The complex cepstrum uses the complex logarithm function defined for complex values.
The complex cepstrum holds information about magnitude and phase of the initial spectrum, allowing the reconstruction of the signal. The real cepstrum uses only the information of the magnitude of the spectrum. The kepstrum, which stands for "Kolmogorov-equation power-series time response", is similar to the cepstrum and has the same relation to it as expected value has to statistical average, i.
It was in use before the cepstrum. It was originally invented for characterizing the seismic echoes resulting from earthquakes and bomb explosions.
It has also been used to determine the fundamental frequency of human speech and to analyze radar signal returns. Cepstrum pitch determination is particularly effective because the effects of the vocal excitation pitch and vocal tract formants are additive in the logarithm of the power spectrum and thus clearly separate.
The autocepstrum is more accurate than the cepstrum in the analysis of data with echoes.
The cepstrum is a representation used in homomorphic signal processing , to convert signals combined by convolution such as a source and filter into sums of their cepstra, for linear separation. In particular, the power cepstrum is often used as a feature vector for representing the human voice and musical signals.
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.
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 Doppler shift frequency can be considered as frequency drift from the carrier frequency, which can be implemented by FM modulation block with initializing the input of the FM modulation block with certain constant value.
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. 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.