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Fast frequency acquisition via adaptive least squares algorithm
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Kumar, R. |
| Copyright Year | 1986 |
| Description | A new least squares algorithm is proposed and investigated for fast frequency and phase acquisition of sinusoids in the presence of noise. This algorithm is a special case of more general, adaptive parameter-estimation techniques. The advantages of the algorithms are their conceptual simplicity, flexibility and applicability to general situations. For example, the frequency to be acquired can be time varying, and the noise can be nonGaussian, nonstationary and colored. As the proposed algorithm can be made recursive in the number of observations, it is not necessary to have a priori knowledge of the received signal-to-noise ratio or to specify the measurement time. This would be required for batch processing techniques, such as the fast Fourier transform (FFT). The proposed algorithm improves the frequency estimate on a recursive basis as more and more observations are obtained. When the algorithm is applied in real time, it has the extra advantage that the observations need not be stored. The algorithm also yields a real time confidence measure as to the accuracy of the estimator. |
| File Size | 442983 |
| Page Count | 9 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19860018809 |
| Archival Resource Key | ark:/13960/t2f817k8w |
| Language | English |
| Publisher Date | 1986-05-15 |
| Access Restriction | Open |
| Subject Keyword | Communications And Radar State Vectors Deep Space Network Error Analysis Algorithms Least Squares Method Recursive Functions Demodulators Receivers Signal Processing Weighting Functions Convergence Ntrs Nasa Technical Reports ServerĀ (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |