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Optimum filters and smoothers design for carrier phase and frequency tracking
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Kumar, Rajendra |
| Copyright Year | 1987 |
| Description | The report presents the application of fixed lag smoothing algorithms to the problem of estimation of the phase and frequency of a sinusoidal carrier received in the presence of process noise and additive observation noise. A suboptimal structure consists of a phase-locked loop (PLL) followed by post-loop correction to the phase and frequency estimates. When the PLL is operating under high signal-to-noise ratio, the phase detector is approximately linear, and the smoother equations then correspond to the optimal linear equations for an equivalent linear signal model. The performance of such a smoother can be predicted by linear filtering theory. However, if the PLL is operating near the threshold region of the signal-to-noise ratio, the phase detector cannot be assumed to be linear. Then the actual performance of the smoother can significantly differ from that predicted by linear theory. In this report we present both the theoretical and simulated performance of such smoothers derived on the basis of various models for the phase and frequency processes. |
| File Size | 1866595 |
| Page Count | 77 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19880010295 |
| Archival Resource Key | ark:/13960/t6vx57w99 |
| Language | English |
| Publisher Date | 1987-05-01 |
| Access Restriction | Open |
| Subject Keyword | Communications And Radar Computer Programming Phase Locked Systems Signal To Noise Ratios Phase Detectors Sine Waves Optimization Algorithms Smoothing Signal Processing Carrier Waves Applications Programs Computers Linear Equations Communication Ntrs Nasa Technical Reports ServerĀ (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |