In this dissertation, I propose several techniques to improve receiver algorithms
used for signal acquisition and peak measurement. First, I propose a method to perform
signal acquisition, for direct-sequence spread spectrum signals. The proposed meth...
In this dissertation, I propose several techniques to improve receiver algorithms
used for signal acquisition and peak measurement. First, I propose a method to perform
signal acquisition, for direct-sequence spread spectrum signals. The proposed method
considers the cases where sampling frequency offsets are important, and achieves
(asymptotically) almost as fast speed as conventional algorithms. I verify the method
with simulations.
Second, I propose a method to estimate the location of a correlation peak. This
problem occurs frequently in DSSS systems designed for wireless positioning, such as
the GPS. By looking at the signal amplitudes around a peak, the proposed algorithm
calculates the sub-sample accurate location of the peak. I propose a polynomial-based
calibration method, so that the accurate peak position can be found easily after the
calibration phase. Assuming small and Gaussian noise, I present an optimal estimator.
I conducted an experiment, with software-defined radio devices, showing the method
works in realistic environment.
Third, I propose a method to simultaneously receive Wi-Fi beacon signals from
multiple channels. Beacon signals are transmitted every 0.1 s, and the receiver should
dwell on each channel for longer than 0.1 s, to receive the beacon signals. I present a
way to monitor multiple channels simultaneously, thus speeding up the scan process.
I hope the proposed methods and implementations are used for improved communication, ranging, and positioning