Caner Ozdemir - Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms

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Build your knowledge of SAR/ISAR imaging with this comprehensive and insightful resource The newly revised Second Edition of 
 covers in greater detail the fundamental and advanced topics necessary for a complete understanding of inverse synthetic aperture radar (ISAR) imaging and its concepts. Distinguished author and academician, Caner Özdemir, describes the practical aspects of ISAR imaging and presents illustrative examples of the radar signal processing algorithms used for ISAR imaging. The topics in each chapter are supplemented with MATLAB codes to assist readers in better understanding each of the principles discussed within the book. 
This new edition incudes discussions of the most up-to-date topics to arise in the field of ISAR imaging and ISAR hardware design. The book provides a comprehensive analysis of advanced techniques like Fourier-based radar imaging algorithms, and motion compensation techniques along with radar fundamentals for readers new to the subject. 
The author covers a wide variety of topics, including: 
Radar fundamentals, including concepts like radar cross section, maximum detectable range, frequency modulated continuous wave, and doppler frequency and pulsed radar The theoretical and practical aspects of signal processing algorithms used in ISAR imaging The numeric implementation of all necessary algorithms in MATLAB ISAR hardware, emerging topics on SAR/ISAR focusing algorithms such as bistatic ISAR imaging, polarimetric ISAR imaging, and near-field ISAR imaging, Applications of SAR/ISAR imaging techniques to other radar imaging problems such as thru-the-wall radar imaging and ground-penetrating radar imaging Perfect for graduate students in the fields of electrical and electronics engineering, electromagnetism, imaging radar, and physics, 
 also belongs on the bookshelves of practicing researchers in the related areas looking for a useful resource to assist them in their day-to-day professional work.

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(2.40) The above equation is derived for the bistatic radar operation The equation - фото 114

The above equation is derived for the bistatic radar operation. The equation can be simplified to the following for the monostatic radar setup:

(2.41) 26 Radar Waveforms The selection of the radar signal type is mainly decided - фото 115

2.6 Radar Waveforms

The selection of the radar signal type is mainly decided by the specific role and the application of the radar. Therefore, different waveforms can be utilized for the various radar applications. The most commonly used radar waveforms are

1 continuous wave (CW),

2 frequency‐modulated continuous wave (FMCW),

3 stepped‐frequency continuous wave (SFCW),

4 short pulse, and

5 chirp (linear frequency modulated [LFM]) pulse.

Next, these waveforms will be investigated while their time and frequency characteristics are demonstrated and their common usages and applications are addressed.

2.6.1 Continuous Wave

A CW radar system transmits radio wave signals at a particular frequency. If both the radar and the target are stationary, then the frequency of the received CW signal is the same as the transmitted signal. On the other hand, the returned signal's frequency components are shifted from the transmitted frequency if the target is in motion with respect to the radar. This type of shift in the frequency spectrum is called Doppler frequency shift and plays an important role in finding the velocity of the target in most radar applications. The concept of Doppler frequency shift is also important for ISAR imaging. We shall see the use of Doppler frequency shift concept in Range‐Doppler ISAR imaging applications in Chapter 6.

The time‐domain signal of the CW radar is as simple as

(2.42) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 116

where f ois the operating frequency. The frequency spectrum of this CW signal can be readily found by applying the forward Fourier transform (FT) operation to Eq. 2.42to get

(2.43) An example of a CW radar signal is shown in Figure 29 In Figure 29a a - фото 117

An example of a CW radar signal is shown in Figure 2.9. In Figure 2.9a, a purely sinusoidal signal that has a frequency of 1 kHz is drawn. The frequency spectrum of this signal is plotted in Figure 2.9b where two impulses at f o= ±1 kHz can be easily seen.

As opposed to pulsed radar systems that use the time delay of the transmitted pulses to find the range of the target, CW radars measure the instantaneous rate of change in the target's range from the radar. This change causes the Doppler shift in the frequency content of the returned EM wave due to the motion of the radar, target, or both. One of the best uses of CW radar is the police radar system that estimates the speed of motor vehicles. A demonstration of CW police radar is shown in Figure 2.10. Assuming that the radar is stationary and transmitting a CW signal with a frequency of f o, the frequency of the reflected wave from a stationary target is the same as the transmitting frequency f o. If the target is approaching the radar, the frequency of the reflected wave increases with a shifted amount of f Dwhich is known as Doppler frequency shift (Mahafza 2005) and is given by Figure 2.10b:

Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 118

Figure 2.9 An example of CW radar waveform in (a) time domain, (b) frequency domain.

(2.44) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 119

Here, v ris the radial speed of the moving target, and λ ois the wavelength corresponding to the frequency of the transmitted wave. In a dual situation, if the target is moving away from the radar, the frequency of the reflected wave is altered such that the Doppler frequency shift produces a negative value. Therefore, the wavelength of the reflected wave increases and the frequency decreases with an amount of f D(see Figure 2.10c).

Figure 210 Operation of police radar a returned wave has the same frequency - фото 120

Figure 2.10 Operation of police radar: (a) returned wave has the same frequency as the transmitted signal for the stationary target, (b) returned wave's frequency is increased for the approaching target; (c) returned wave's frequency is decreased for the target going away.

The use of CW waveform in various radar applications provides the following advantages. First of all, the radars that use CW waveforms are easy to manufacture, thanks to their simple waveform shapes. Second, they can detect any target on the range as far as the power level permits. Therefore, there is no range constraint for detection. In addition, they can be used in both very low‐frequency band (e.g. radio altimeters) and very high‐frequency band (e.g. early warning radars).

CW radars have the following disadvantages. They cannot estimate the range of a possible target. Range is normally measured by the time delay between different pulses created by the radar. In CW radars, however, the waveform is continuous and not pulsed. Furthermore, they can only detect moving targets. Reflected energy from stationary targets is filtered out since their basic operation is based on measuring the Doppler shift in the frequency.

Another disadvantage comes from the fact that they maximize the power consumption since they continuously broadcast the outgoing signal.

2.6.2 Frequency‐Modulated Continuous Wave

While the CW radar can only estimate the Doppler shift created by the movement of the target with respect to radar, FMCW radar can be used to determine the range of a possible target. The common way to modulate the frequency is done by simply increasing the frequency as the time passes. This type of modulation is also known as linear frequency modulation or chirp modulation .

The waveform of an LFM CW signal is simply given by

(2.45) where A is the signal amplitude f ois the starting frequency and K is the - фото 121

where A is the signal amplitude, f ois the starting frequency, and K is the chirp rate (or frequency increase/decrease rate ). In the above equation, the “+” sign indicates an upchirp signal and the “−” sign is for a downchirp signal. The instantaneous frequency of this signal can be easily found by taking the time derivative of the phase as

(2.46) A simple upchirp timedomain signal is illustrated in Figure 211 As obvious - фото 122

A simple upchirp time‐domain signal is illustrated in Figure 2.11. As obvious from the figure, the frequency of the wave increases as time progresses.

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