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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2.7.1 Pulse Repetition Frequency

As pulses are repeated in T PR, the corresponding PRF of the radar is as given in Eq. 2.60. PRF gives the total number of pulses transmitted in every second by the radar. In radar applications, PRF value can be quite critical as it is linked to maximum range of a target, R max, and the maximum Doppler frequency, f D,max(so the maximum target velocity v maxof the target), that can be detectable by the radar. The use of PRF in ISAR range‐Doppler processing will be explored in Chapter 6.

2.7.2 Maximum Range and Range Ambiguity

As calculated in Eq. 2.58. the range resolution is proportional to the pulse duration as Δ r = c · τ /2. Therefore, the smaller the pulse duration, the finer the range resolution we can get. On the other hand, maximum range is determined by time delay between the transmitted and received pulses. Since the pulses are repeated for every T PRseconds, any received pulse that is reflected back from a target at R distant on the range should arrive before the next pulse is transmitted to avoid the ambiguity in the range, that is,

(2.63) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 149

Figure 221 Pulsed radar systems use a sequence of modulated pulses If T PRis - фото 150

Figure 2.21 Pulsed radar systems use a sequence of modulated pulses.

If T PRis fixed, then the range should be less than the following quantity:

(2.64) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 151

Therefore, the maximum range that can be unambiguously detected by the pulsed radar is calculated by the period between the pulses, that is, T PR, as given below:

(2.65) This is also called unambiguous range since any target within this range is - фото 152

This is also called unambiguous range since any target within this range is accurately detected by the radar at its true location. However, any target beyond this range will be dislocated in the range as the radar can only display the R maxmodulus of the target's location along the range axis. To resolve the range ambiguity problem, some radars use multiple PRFs while transmitting the pulses (Mahafza 2005).

2.7.3 Doppler Frequency

In radar theory, the concept of Doppler frequency describes the shift in the center frequency of an incident EM wave due to movement of radar with respect to target. The basic concept of Doppler shift in frequency has been conceptually demonstrated through Figure 2.10and is defined as

(2.66) where v ris the radial velocity along the radar line of sight RLOS direction - фото 153

where v ris the radial velocity along the radar line of sight (RLOS) direction. Now, we will demonstrate how the shift in the phase (also in the frequency) of the reflected signal from a moving target constitutes. Let us consider an object moving toward the radar with a speed of v r. The radar produces and sends out pulses with the PRF value of f PR. Every pulse has a time duration (or width) of τ . The illustration of Doppler frequency shift phenomenon is given in Figure 2.22. The leading edge of the first pulse hits the target (see Figure 2.22a). After a time advance of Δ t . the trailing edge of the first pulse hits the target as shown in Figure 2.22b. During this time period, the target traveled a distance of

(2.67) Figure 222 Illustration of Doppler shift phenomenon a the leading edge of - фото 154

Figure 222 Illustration of Doppler shift phenomenon a the leading edge of - фото 155

Figure 2.22 Illustration of Doppler shift phenomenon: (a) the leading edge of the first pulse in hitting the target at t = 0; (b) the trailing edge of the first pulse in hitting the target at t = Δ t ; (c) the trailing edge of the second pulse is hitting the target at t = dt . During this period, the target traveled a distance of D = vdt .

Looking at the situation in Figure 2.22b, it is obvious that the pulse distance before the reflection is equal to the distance traveled by the leading (or trailing) edge of the pulse plus the distance traveled by the target as

(2.68) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 156

Similarly, the pulse distance after the reflection is equal to the distance traveled by the leading (or trailing) edge of the pulse minus the distance traveled by the target as

(2.69) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 157

Dividing these last two equations yields

(2.70) On the lefthand side of this equation c terms are canceled whereas Δ t terms - фото 158

On the left‐hand side of this equation, c terms are canceled, whereas Δ t terms are canceled on the right‐hand side. Then, the pulse width after the reflection can be written in terms of the original pulse width as

(2.71) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 159

The term ( cv r)/( c + v r) is known as the dilation factor in the radar community. Notice that when the target is stationary ( v r= 0), then the pulse duration remains unchanged ( τ ' = τ ) as expected.

Now, consider the situation in Figure 2.22c. As trailing edge of the second pulse is hitting the target, the target has traveled a distance of

(2.72) картинка 160

within the time frame of dt . During this period, the leading edge of the first pulse has traveled a distance of

(2.73) картинка 161

On the other hand, the leading edge of the second pulse has to travel a distance of ( c / f PR− D ) at the instant when it reaches the target. Therefore,

(2.74) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 162

Solving for dt yields

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