Abstract
The global positioning system (GPS), which provides accurate positioning and timing information, has become a commonly used navigation instrument for many applications. The application of a new adaptive all-pass based notch filter (ANFA) for narrowband/FM interference suppression and frequency estimation in GPS receivers is proposed. An ANFA structure that achieves better unbiased characteristics with its coefficients is employed to accurately estimate the narrowband interfering signals in online fashion. A variable convergence factor that optimizes the maximal mean square error (MSE) reduction in each iteration is applied in a modified adaptive Gaussian-Newton (MAGN) algorithm. The proposed MAGN algorithm can lead to both faster convergence speed and higher estimation accuracy. Simulation results show that the ANFA offers a better performance than conventional linear predictors in terms of the SNR improvement and the mean output power (MOP) under the interference environments of interest.
| Original language | English |
|---|---|
| Pages (from-to) | 527-542 |
| Number of pages | 16 |
| Journal | Circuits, Systems, and Signal Processing |
| Volume | 30 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jun 2011 |
Keywords
- Adaptive All-pass based Notch Filter (ANFA)
- Global Positioning System (GPS)
- Interference Suppression
- Modified adaptive Gauss-Newton (MAGN) algorithm
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