A novel array signal processing technique for multipath channel parameter estimation
Author(s)
Advisor
Arıkan, OrhanDate
2006Publisher
Bilkent University
Language
English
Type
ThesisItem Usage Stats
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Abstract
Many important application areas such as mobile communication, radar, sonar
and remote sensing make use of array signal processing techniques. In this thesis,
a new array processing technique called Cross Ambiguity Function - Direction
Finding (CAF-DF) is developed. CAF-DF technique estimates direction of arrival
(DOA), time delay and Doppler shift corresponding to each impinging signals
onto a sensor array in an iterative manner. Starting point of each iteration is
CAF computation at the output of each sensor element. Then, using incoherent
integration of the computed CAFs, the strongest signal in the delay-Doppler domain
is detected and based on the observed phases of the obtained peak across
all the sensors, the DOA of the strongest signal is estimated. Having found
the DOA, CAF of the coherently integrated sensor outputs is computed to find
accurate delay and Doppler estimates for the strongest signal. Then, for each
sensor in the array, a copy of the strongest signal that should be observed at that
sensor is constucted and eliminated from the sensor output to start the next iteration.
Iterations continue until there is no detectable peak on the incoherently
integrated CAFs. The proposed technique is compared with a MUSIC based technique on synthetic signals. Moreover, performance of the algorithm is tested
on real high-latitude ionospheric data where the existing approaches have limited
resolution capability of the signal paths. Based on a wide range of comparisons,
it is found that the proposed CAF-DF technique is a strong candidate to define
the new standard on challenging array processing applications.
Keywords
Array signal processingDirection of arrival (DOA)
MUSIC
Delay and Doppler estimation
Cross ambiguity function