By Bu-Chin Wang
A self-contained method of DSP concepts and functions in radar imaging The processing of radar photos, generally, contains 3 significant fields: electronic sign Processing (DSP); antenna and radar operation; and algorithms used to method the radar photographs. This booklet brings jointly fabric from those diverse components to permit readers to realize a radical knowing of the way radar photographs are processed. The booklet is split into 3 major components and covers: * DSP ideas and sign features in either analog and electronic domain names, complicated sign sampling, and interpolation suggestions * Antenna idea (Maxwell equation, radiation box from dipole, and linear phased array), radar basics, radar modulation, and target-detection ideas (continuous wave, pulsed Linear Frequency Modulation, and stepped Frequency Modulation) * homes of radar photos, algorithms used for radar picture processing, simulation examples, and result of satellite tv for pc picture documents processed by way of Range-Doppler and Stolt interpolation algorithms The booklet totally makes use of the computing and graphical power of MATLAB? to reveal the indications at a number of processing levels in 3D and/or cross-sectional perspectives. also, the textual content is complemented with flowcharts and approach block diagrams to assist in readers' comprehension. electronic sign Processing concepts and functions in Radar picture Processing serves as an incredible textbook for graduate scholars and training engineers who desire to achieve firsthand adventure in using DSP rules and applied sciences to radar imaging.
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Additional info for Digital Signal Processing Techniques and Applications in Radar Image Processing
1 A sinc (t ) function. 2 LINEAR SYSTEM AND CONVOLUTION A linear system, as shown in Fig. 2, can be represented as a box with input x, output y and a system operator H that deﬁnes the relationship between x and y. Both x and y can be a set of components. 2 A linear system. A system is linear if and only if H(a x + b y) = a H x + b H y. 3) where a and b are constants, x is the system’s input signal, and y is the output signal. In addition, a linear system having the ﬁxed input–output relation Hx(t) = y(t) is time-invariant if and only if Hx(t − τ ) = y(t − τ ) for any x(t) and any τ .
3D view of reconstructed target function. Side view, from the range direction, of Fig. 31. Side view, from the azimuth direction, of Fig. 31. Waveforms of the real and imaginary parts of a received satellite baseband signal. ) Image of a received satellite signal after range compression. Image of a range-compressed signal in range–Doppler frequency domain. Radar image after bulk compression. Radar image after differential azimuth compression. Radar image processed by range–Doppler algorithm. Radar image processed by Stolt interpolation technique.
Therefore y(t) = x(t) ∗ h(t) = h(t) ∗ x(t). 2 Associative If y(t) = [x(t) ∗ h(t)] ∗ z(t), then y(t) = x(t) ∗ [h(t) ∗ z(t)] = [x(t) ∗ z(t)] ∗ h(t). 3 Distributive If y(t) = x(t) ∗ h(t) + x(t) ∗ z(t), then y(t) = x(t) ∗ [h(t) + z(t)]. 4 Timeshift If y(t) = x(t) ∗ h(t), then y(t − τ ) = x(t − τ ) ∗ h(t) = x(t) ∗ h(t − τ ). 3 FOURIER SERIES REPRESENTATION OF PERIODIC SIGNALS A signal gp (t) is called a periodic signal with period T 0 if it remains unchanged after it has been shifted forward or backward by T 0 , that is g p (t) = g p (t +/− T0 ), where T 0 = 2π/ω0 .
Digital Signal Processing Techniques and Applications in Radar Image Processing by Bu-Chin Wang