Waveform and Receiver Filter Selection for Wideband Radar Applications
Doctoral thesis, 2015
This thesis concerns the design of transmitter-receiver chains for wideband
radar systems. The transmitter side employs one, or several, highly flexible
signal generators, which are able to generate signals with a large bandwidth.
At the receiver side, when we are are able to select receiver filters, we have
the freedom to optimize also the receiver filters.
Herein, the transmit waveforms and receiver filters are designed to fulfil
user-defined criteria. In general, a high probability of target detection, while
maintaining a low false alarm rate, is desired. For a scenario in which interference
is present, this means to achieve a high Signal-to-Interference-and-Noise
When advanced transmitter-receiver technology is implemented, the possibility
to adapt the system through a feedback loop arises. Information
about the the radar operating environment is provided by signal processing
techniques. We propose a Kalman filter to follow a time-evolving cluttermap,
based on the complex received signal samples. The estimates of the
complex clutter reflections are utilized to determine parameters of the clutter
The system should, in addition, experience a robust target detection property.
This is important when targets are not confined on a user-specified grid
of time-delays and time-scalings. We derive an algorithm where the mainlobe
width of the correlation function is adapted according to a desired resolution.
The thesis also deals with hardware restrictions. A study on how to synthesize
time domain signals from achieved power spectra is performed. We
synthesize signals with given spectral properties that experience a low peakto-
average-power ratio. A signal with constant envelope is also achievable by
allowing the power spectrum to deviate somewhat from its desired shape.
receiver filter design
EB, Hörsalsvägen 11, Chalmers University of Technology
Opponent: Dr. Margarte Cheney, Department of Mathematics, Colorado State University, USA