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Radar Target Recognition using High Resolution Range Profile

Aghatabar Roodbary, Amin | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 51616 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Bastani, Mohammad Hassan
  7. Abstract:
  8. One of the subsets of the radar systems is recognition of targets. Radar Target Recognition (RTR) is a process in which a target is distinguished from a set of targets. To recognize radar targets, we need to extract useful information from the returned signal from them. The most important issues in recognizing radar targets are the selection of information that reduces the amount of information needed for the identification process, the ease of extracting information from the moving target, and the ease of decision making to determine the identity of the target. One method is to produce a high resolution range profile, which is the one-dimensional image of the target in the direction of radar line of sight that is illuminated by a signal with a wavelength of less than a few centimeters and a resolution of less than a few tens of centimeters and is known as a radar characteristic and the information required to recognize the target is extracted.RTR using the amplitude of the target return echo information is the purpose of this approach that is relatively simple and has real-time processing and is used in many applications for practical purposes. One of the methods for producing High-Resolution Range Profile (HRRP) is the use of the stepped frequency waveform. One of the drawbacks of stepped frequency radar systems is their sensitivity to target motion. In such systems, target motion causes range cell shift, false peaks, signal to noise ratio reduction and range-profile spreading because of power spectrum interference of each range cell in adjacent range cells which induces distortion in HRRP and disrupt target recognition process. Thus target motion parameters effects compensation should be employed. To this end, in recent years, many methods have been proposed that are referred to in this thesis. One of these methods is the minimum entropy approach, which is highly accurate, but because of the optimal search process and the complexity of the image entropy formula, it requires a lot of processing and calculation time. In this thesis, a method for estimating target motion parameters based on the minimum entropy using one-dimensional line search is proposed, which for the signal to noise at 5dB and further has a high estimation accuracy and also reduces the time required for processing
  9. Keywords:
  10. Radar Target Recognition ; Target Motion Compensation ; Stepped Frequency Wave Form ; High Resolution Range Profile

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