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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2.6.4 Short Pulse

One of the simplest radar waveforms is the short pulse (or impulse) whose time duration is usually on the order of a few nanoseconds. As calculated in Eq. 2.54, the range resolution of a pulsed radar is equal to

(2.56) картинка 137

where B is the frequency bandwidth of the pulse. According to the Fourier theory, the frequency bandwidth, B of a pulse is also inversely proportional to its pulse duration as

(2.57) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 138

which means that the range resolution is proportional to its pulse duration as

(2.58) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 139

Therefore, to have a good range resolution, the duration of a pulse has to be as small as possible. Common short pulse waveforms are rectangular pulse, single‐tone pulse, and single wavelet pulse of different forms. In Figure 2.16a, a rectangular pulse‐shape wave is shown, and the spectrum of this signal is plotted in Figure 2.16b. In the frequency domain, a sinc‐type pattern is obtained as expected.

Another common single‐pulse shape is a single sine signal as plotted in Figure 2.17. Since the time‐domain pulse is smoother when compared to the rectangular pulse (see Figure 2.17a), the spectrum widens, and sidelobe levels decrease as expected according to the Fourier theory as depicted in Figure 2.17b.

Another popular short‐duration waveform is called the wavelet signal. Wavelets are much smoother than the sine pulse; therefore, they provide less sidelobes in the frequency domain. In Figure 2.18a, a Mexican‐hat type wavelet whose mathematical function is given below is shown below:

(2.59) Since this signal is much smoother than the previous short pulse waveforms that - фото 140

Since this signal is much smoother than the previous short pulse waveforms that we have presented, the frequency extent of this wavelet is extremely broad. Therefore, it provides an ultrawide band (UWB) spectrum as most of the other short‐duration wavelets do as shown in Figure 2.18b.

While these short pulses are good for providing a wide spectrum, they are not practical in terms of providing sufficient energy. This is because of the fact that it is not possible to put great amount of power onto a very small pulse. To circumvent this problem, the pulse is modulated by altering the frequency as time continues to pass. The common practice is to use a chirp waveform to be able to put enough energy onto the pulse, as will be investigated next.

2.6.5 Chirp (LFM) Pulse

As explained in the previous paragraph, it will not be possible to use a sufficiently wide pulse and achieve a wide bandwidth. If a broadband spectrum is achieved with an unmodulated, or constant‐frequency pulse (as in Figure 2.19a), its time duration has to be quite small such that it may not be possible to put enough energy on it. A solution to this problem is to use a modulated pulse of sufficient duration such that this modulated waveform provides the required frequency bandwidth for the operation of radar.

Figure 216 A shortduration rectangular pulse in a time domain b - фото 141

Figure 2.16 A short‐duration rectangular pulse in (a) time domain, (b) frequency domain.

Figure 217 A shortduration singlefrequency pulse in a time domain b - фото 142

Figure 2.17 A short‐duration single‐frequency pulse in (a) time domain, (b) frequency domain.

Figure 218 A shortduration Mexicanhat pulse in a time domain b - фото 143

Figure 2.18 A short‐duration Mexican‐hat pulse in (a) time domain, (b) frequency domain.

Figure 219 Comparison of the timedomain pulse waveforms a singletone - фото 144

Figure 2.19 Comparison of the time‐domain pulse waveforms: (a) single‐tone pulse, (b) LFM (Chirp) pulse.

The common waveform is the LFM pulse, also known as the chirp pulse, whose waveform is shown in Figure 2.19b. In practice, this waveform is repeated in every T PRintervals for most common radar applications, especially for localization of targets in the range. T PRis called the pulse repetition interval (PRI) or pulse repetition period . The inverse of this interval gives the pulse repetition frequency (PRF), defined as

(2.60) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 145

The mathematical expression of the upward chirp signal whose frequency is increasing as time passes along the pulse is given as

(2.61) where n is an integer τ is the pulse width and K is the chirp rate The - фото 146

where n is an integer, τ is the pulse width, and K is the chirp rate. The instantaneous frequency of the pulse is f i( t ) = f o+ Kt . It is also possible to form another LFM pulse by decreasing the frequency along the pulse width as shown below:

(2.62) For the downward chirp pulse the instantaneous frequency is then equal to f i - фото 147

For the downward chirp pulse, the instantaneous frequency is then equal to f i( t ) = f o− Kt .

To demonstrate the broad spectrum of the LFM waveform, the FT of single‐tone and LFM pulse signals in Figure 2.19is taken and plotted in Figure 2.20. It is clearly seen from this figure that chirp signal provides much wider bandwidth when compared to constant‐frequency pulse.

In radar applications, LFM pulse waveforms are mainly utilized in finding range profiles, and also for synthetic aperture radar (SAR) and ISAR processing as will be discussed in Chapters 3and 6, respectively.

Figure 220 Comparison of the spectrum of a singletone pulse and b LFM - фото 148

Figure 2.20 Comparison of the spectrum of (a) single‐tone pulse and (b) LFM pulse. Although both signals use the same time duration, frequency bandwidth of the Chirp waveform is much wider than the single‐tone waveform.

2.7 Pulsed Radar

Pulsed radar systems are commonly used especially in SAR and ISAR systems. They transmit and receive a sequence of modulated pulses. Therefore, the same type of pulse is repeated in every T PRinterval, or, as it is called, PRI as depicted in Figure 2.21. The range information can be gathered from the two‐way trip time (or time delay) between the transmitted and received pulses. Pulsed radar systems have the ability to measure both the range (the radial distance) and the radial velocity of the target.

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