Telecommunications Sensors

Download Inverse Synthetic Aperture Radar Imaging: Principles, by Victor C. Chen PDF

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By Victor C. Chen

This publication is predicated at the most up-to-date examine on ISAR imaging of relocating ambitions and non-cooperative objective attractiveness (NCTR). It specializes in how you can generate high-resolution ISAR photographs of ambitions of curiosity and the way to house elements that have an effect on the method. It additionally seems at extracting details from ISAR photos and appearing non-cooperative aim reputation (NCTR) of relocating targets.

Inverse artificial Aperture Radar Imaging covers the extra unique snapshot formation and auto-focusing algorithms in addition to purposes of those algorithms to actual global ISAR imaging. additionally it is MATLAB resource codes for the simulation of radar scattering from relocating pursuits, implementations of ISAR photograph formation, auto-focusing, and imaging time choice, and simulations of bi-static and multi-static ISAR imaging algorithms.

Inverse man made Aperture Radar Imaging offers readers with a operating wisdom of the topic. a few key issues comprise: monostatic and bistatic RCS versions for ISAR, aspect unfold functionality and 2-D imaging, polarimetric ISAR, interferometry in ISAR, bandwidth extrapolation approach in ISAR, multi-window spectrum estimation, fresh set of rules, influence of rotational movement on ISAR imaging, number of optimum imaging timewindow, ISAR imaging in low SNR and in robust litter, micro-Doppler beneficial properties in ISAR, estimation of rotation in ISAR, multipath in ISAR, distortion research for bistatic ISAR, emulated bistatic ISAR, and multistatic ISAR.

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Extra info for Inverse Synthetic Aperture Radar Imaging: Principles, Algorithms, and Applications

Example text

Compared with a passive optics-based imaging system, an active radar imaging system is much more complicated. A radar system response to a point source is related to the transmitted signal waveform, transmitting and receiving antenna patterns, object properties, and image formation processing. The ambiguity function is determined only by signal waveforms without accounting for other factors. Therefore, in radar imaging systems the ambiguity function of the radar signal waveform is not exactly the PSF of the system but is a weighted sum of ambiguity functions.

However, one approach can measure the target range using a CW waveform. The first step is to tune the transmitted frequency, fc, such that the target range reaches an integer number, N1, of the tuned frequency wavelength l1, that is, 2R ¼ N1l1. Then the second step is to keep tuning the transmitted frequency until the target range reaches another integer 28 CHAPTER 2 ● Basic Principles of ISAR Imaging number, N2, of the tuned frequency wavelength l2, that is, 2R ¼ (N1 þ N2)l2. Thus, by solving the previous two equations, the unknown variable, R, can be found as R ¼ ðc=2ÞN2 =ðf2 À f1 Þ; ð2:9Þ where f1 ¼ c/l1 and f2 ¼ c/l2.

Edges, corners, vertices) and is less intense than the reflection. The surface wave is associated with the current traveling along the surface of the target body. , the inlet cavity of an aircraft). Spiky features and lobes in the RCS may also be associated with multiple reflections, diffraction, and other scattering mechanisms. The RCS prediction method is an analytical method of calculating the RCS. The incident wave induces a current on the target and thus radiates an EM field. If the distribution of induced currents is known, it can be used in the radiation integral to calculate the scattered field and therefore the RCS.

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