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Abstract:
This thesis investigates the detection of phase shifts contained within a noisy Phase Shift Keyed modulated signal. The approach derived in this work applies image-processing techniques including two-dimensional filters, edge detection, morphological processing, and a two-dimensional cross-correlation matched filter to detect the phase shifts from the angle of the signal temporal correlation function. Results show the proposed algorithm is robust to additive white noise distortions down to SNR levels of 4 dB.
| Limitations: |
 APPROVED FOR PUBLIC RELEASE |
| Description: |
Master's thesis |
| Pages: |
152 |
| Report Date: |
Sep-2009 |
| Report Number: |
A042905 |
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