Dr.-Ing. Joachim Ender Honorarprofessor der Ruhr-Univ. Bochum
at the University of Siegen, Center of Sensor Systems (ZESS)
This lecture addresses the basics of modern radar with an emphasis on signal
modelling and processing. It is intended to convey the technical and physical
background of radar to the students to enable them to understand the mechanisms
in depth and to apply well-founded statistical signal models.
requires as prerequisites the bases of communications engineering (elementary
signals, convolution, Fourier-Transformation, linear systems and filters,
sampling theorem, ...).
knowledge of high-frequency technology like wave propagation and antennas is
communicated during the lectures.
is set on the one hand on the statistical modelling of sensor signals, on the other
hand on the multidimensional application of the Fourier transformation in the
temporal and spatial domain. Based on these investigations, modern radar
procedures are developed like radar with phased array antennas, space-time
adaptive processing (STAP), and synthetic aperture radar (SAR) and described
with the look on existing systems. The lecture is illustrated with real
examples of radar signals, processing steps and results.
Content:
valued radar signals for coherent pulse radar; matched receive filter;
Doppler effect; sampling in the range and pulse-to-pulse domain
compression; ambiguity function; design of radar signals; FM-CW radar;
definitions of resolution
parameter estimation applied to radar; maximum-likelihood-estimator of
signal amplitude; Doppler frequency and range; Cramer-Rao-bounds
tests (detectors) applied to radar; likelihood-ratio test; detection of
radar signals with known and unknown Doppler frequency; Receiver-Operating-Characteristics
with phased array antenna; beamforming; matched filter in space; monopulse
estimation; meaning of covariance matrix for multi-dimensional signal
processing; adaptive beamforming
target indication against clutter for ground based and airborne radar;
Space-Time Adaptive Processing
of Radar imaging: Inverse SAR imaging of objects on the turn table; the
space of wave vectors (k-space); polar reformatting; ISAR imaging of
moving objects; SAR in stripmap and spotlight mode.