Introduction to RADAR Systems




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Permanent link to archive for 12/16/11. Friday, December 16, 2011

Instructor: David R. Carey PhD Email: Phone: 570-408-4807 Office: SLC-214 Office Hours: By Appointment


Lecture Time and Location: One 165-minute lecture/lab (Saturday 0900-1145). SLC-224

Overview: This class begins with an introductory description of basic RADAR concepts, terms and operational scenarios. The RADAR range equation needed for the basic understanding of radar is then developed, along with several examples of its use in system design. RADAR propagation issues, such as attenuation and multipath effects are described. The concept of RADAR cross-section, waveform design, antennas, transmitter and receiver characteristics and the detection of radar signals in the presence of noise are presented. The characteristics of sea and land "clutter" are discussed, along with moving target indicator (MTI) and Pulse Doppler techniques for mitigating the negative effects of "clutter." Aspects related to target tracking and target parameter estimation will also be introduced. And, the last set of topics includes the properties of RADAR transmitters and receivers such as: internal and external noise sources; system noise temperature definition and evaluation.

Objectives: The course provides knowledge in general of RADAR systems, the electromagnetic theory behind their operation, and an overview of phased array antenna systems. Equal weight is placed on the RADAR range equation and affect on the system aspects. The student will gain a general knowledge of the following topics: Propagation of EM waves, range equations, and system structure; Signal models, radar cross section of targets and clutter, multipath, statistical models; Ambiguity function, radar waveforms including LFM and coded waveforms; Sampling in range, angle, Doppler, and space; Doppler processing, moving target indicator (MTI), and pulse Doppler processing; Spatial filtering, data-independent beamforming, and adaptive beamforming; Neyman-Pearson detection and likelihood ratio test, coherent and noncoherent integration; and advanced radar topics including synthetic aperture radar (SAR) and space-time adaptive processing (STAP). The course includes several computer exercises which are solved using MatLab®, or Agilent ADS, commercially available analysis software.

Prerequisites: Students must be enrolled as a graduate student at Wilkes University. Students who have completed a four-year degree may enroll with the permission of the instructor. A basic understanding of probability and random variables (EE460), electromagnetic field and wave theory (EE432), and antenna theory (EE436). Digital signal processing (EE465) would be a benefit.

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