By Xiaolan Qiu
Synthetic Aperture Radar (SAR) is important for distant sensing. it really works day and evening, in reliable climate or undesirable. Bistatic SAR is a brand new form of SAR approach, the place the transmitter and receiver are put on separate systems. Bistatic SAR is likely one of the most vital tendencies in SAR improvement, because the know-how renders SAR extra versatile and more secure while utilized in army environments. Imaging is among the so much tricky and critical facets of bistatic SAR information processing. even supposing conventional SAR sign processing is totally constructed, bistatic SAR has a extra advanced method constitution, so sign processing is tougher. targeting imaging points of bistatic SAR sign processing, this publication covers solution research, echo new release equipment, imaging algorithms, imaging parameter estimation, and movement reimbursement methods.
The publication is perfect for researchers and engineers in SAR sign and information processing, in addition to these operating in bistatic and multistatic radar imaging, and within the radar sciences. Graduate scholars with a history in radar who're attracted to bistatic and multistatic radar will locate this publication a worthwhile reference.
- Gives a normal and up-to-date framework for snapshot formation utilizing sign processing aspects
- Starts with an creation to standard SAR sooner than relocating directly to extra complex topics
- Offers readers a variety of exhaustive instruments to method indications and shape images
- Provides an effective reference for the imaging of different complex SAR
- Sample picture synthesis routines can be found from the book's spouse site
Chapter 1 creation (pages 1–16):
Chapter 2 sign Processing foundation of SAR (pages 17–50):
Chapter three uncomplicated wisdom of Bistatic SAR Imaging (pages 51–81):
Chapter four Echo Simulation of Bistatic SAR (pages 83–110):
Chapter five Imaging Algorithms for Translational Invariant Bistatic SAR (pages 111–212):
Chapter 6 Imaging set of rules for Translational version Bistatic SAR (pages 213–271):
Chapter 7 Bistatic SAR Parameter Estimation and movement reimbursement (pages 273–312):
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Extra info for Bistatic SAR Data Processing Algorithms
These make them unable to be a real-time processor and are not suitable to be applied to practical systems. To solve these problems, methods for rapidly processing the SAR massive data are also proposed during a long-term exploration, among which, the range-Doppler (RD) algorithm, the chirp scaling (CS) algorithm and the wave number domain algorithm (ω-k algorithm), are classic ones that are most representative. These algorithms will be introduced one by one in the following section. 5 Brief Introduction to Efﬁcient SAR Imaging Algorithms In essence, all of the traditional efﬁcient imaging algorithms are based on the following two characteristics of SAR echo: ﬁrstly, the azimuth signal is approximately a chirp signal and, secondly, the spatial-variant property of Doppler parameters along the azimuth direction can be ignored (this is reasonable in most spaceborne and airborne systems).
39) Signal Processing Basis of SAR 35 where S(f, fη ) is the frequency domain expression of sr (t, η) and the superscript “∗” stands for conjugation. 42) In order to get the image of the point target, it only needs to multiply H(f, fη ) with two-dimensional spectrum of the raw data and then perform the inverse Fourier transform. 43) where G is a constant that represents the processing gain of the compression process. This output signal is a two-dimensional sinc function, whose peak value is proportional to the backscattering coefﬁcient σ 0 .
The most classic and commonly used signal is the LFM signal. 2 Waveform of a chip in the time domain however, the basic discipline remains the same and the LFM signal is still the most important and classic signal for SAR. As a result, the LFM signal is regarded as a foundation of the following discussion in this book. 3 Linear Frequency Modulated Signal (Chirp Signal) A linear frequency modulated signal is a kind of signal whose frequency changes linearly within the pulse duration time. 6) where f 0 is the center frequency, kr is the chirp rate, T is the pulse duration time and rect() is a rectangular function.
Bistatic SAR Data Processing Algorithms by Xiaolan Qiu