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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8 The radar receiver analyzes this scattered signal to obtain the information about the target that may include its location, velocity, direction, RCS, etc.

The radar range equation is the mathematical expression that manifests the analysis of what happens to the signal strength while it goes through the above processes.

2.4.1 Bistatic Case

A conceptual sketch of the above events for the bistatic radar configuration is illustrated in Figure 2.6. First, the microwave generator (usually with a magnetron, klystron, or a traveling‐wave‐tube amplifier) produces the radar signal of P inwatts. This signal is transferred to a transmitting antenna through a transmission line or a waveguide. Because of the finite conductivity of the lines and other microwave components, some of the power is lost during the transmission. Therefore, the power delivered to the transmitting antenna is given by

(2.13) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 84

where L 1is the transmit loss mainly due to finite conductivity of the transmission line or dielectric losses. Once the power is delivered to the antenna, the power radiated by the antenna is

(2.14) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 85

where Γ txis the reflection coefficient at the terminal of the antenna and is given by

(2.15) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 86

In the above equation, Z ais the antenna radiation impedance and Z ois the characteristic impedance of the transmission line connected to the terminals of the antenna. The loss, 1/(1 − tx| 2) ≜ L tx, associated by the impedance mismatch at the transmitter, is called the transmitter loss . Of course, if the antenna is matched, the radiated power will be equal to the power transmitted to the antenna as

Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 87

Figure 2.6 Geometry for obtaining bistatic radar range equation.

(2.16) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 88

When the power is radiated by the transmitting antenna at a particular direction with the antenna gain of G 1, power density at the range of R 1(where the target is located) can be found as

(2.17) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 89

The power incident to the target is scattered with an amount of the equivalent echoing area , or simply the RCS of the target. Therefore, the scattered power is then equal to

(2.18) Then the power is reradiated by the target as it reaches the receiver antenna - фото 90

Then, the power is reradiated by the target as it reaches the receiver antenna located at R 2distance away from the target. The power density of the scattered power around the receiver becomes

(2.19) At this stage a very small amount of power is available to the receiving - фото 91

At this stage, a very small amount of power is available to the receiving antenna. Therefore, it is crucial to catch as much power as possible by using a large aperture antenna. This implies that it is preferable to use largest practical aperture or reflector to collect as much of the incident power as possible. Antennas capture the incident signals with their effective apertures, A eff, but not their actual apertures (Balanis 1982). In most antennas, effective aperture sizes are smaller than the actual aperture sizes. The power captured by the receiver antenna is then equal to

(2.20) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 92

Antenna effective aperture, A eff, can be written in terms of its gain, G 2as (Balanis 1982)

(2.21) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 93

Replacing effective aperture A effwith the receiver gain G 2in Eq. 2.22using the relationship in the above equation, one can easily obtain the following equation for the power captured by the receiver as

(2.22) Some of the captured power is delivered to the transmission line of the - фото 94

Some of the captured power is delivered to the transmission line of the receiver if the antenna is not perfectly matched. Then, the received power at the front end of the transmission line is given by

(2.23) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 95

Here, Γ rxis the reflection coefficient at the terminal of the receiving antenna and is equal to

(2.24) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 96

In the above equation, Z bis the receiving antenna's radiation impedance, and Z ois the characteristic impedance of the transmission line connected to the terminals of the antenna. The loss, 1/(1 − | Γ rx| 2) ≜ L rx, associated by the impedance mismatch at the transmitter, is known as the receiver loss . Of course, if the antenna is matched, the received power will be equal to the power captured by the antenna as

(2.25) Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - изображение 97

Rewriting Eq. 2.23in terms of the received power, one can easily obtain

(2.26) This power is then transmitted to radar receiver by using a transmission line - фото 98

This power is then transmitted to radar receiver by using a transmission line. If there are some electric and/or dielectric losses, L 2, within the line, the power output to the radar receiver will be equal to

(2.27) If we insert the input power to the above equation with the help of Eqs - фото 99

If we insert the input power to the above equation with the help of Eqs. 2.13and 2.14, we can get the famous radar range equation as below:

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