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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Binhee Kim Seung-Hyun Kong |
| Copyright Year | 2002 |
| Abstract | Due to the longer spreading code used for the next generation GNSS (Global Navigation Satellite System) signals, receivers have to spend longer time or require larger amount of hardware resources for signal acquisition. Since many recent GNSS receivers use DSP (Digital Signal Processor) to realize parallel signal acquisition scheme in the frequency domain, this paper proposes FFT-based TDCC (Two-Dimensional Compressed Correlator) with which coherently compressed hypotheses are tested using a reduced number of IFFT points in the 1st stage, and the individual hypotheses that construct the compressed hypothesis found in the 1st stage are tested using the conventional parallel search scheme in the 2nd stage. The performance of the proposed technique is demonstrated with numerous Monte Carlo simulations and a comparison to the conventional FFT-based search technique is provided. The results show that the proposed technique requires lower computation and has lower mean acquisition time than the conventional FFT-based search technique for moderate and high C/N0 (Carrier-to-Noise Density Ratio) GNSS signals. |
| Starting Page | 2798 |
| Ending Page | 2808 |
| Page Count | 11 |
| File Size | 454512 |
| File Format | |
| ISSN | 15361276 |
| Volume Number | 13 |
| Issue Number | 5 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Doppler effect Global Positioning System Receivers Frequency-domain analysis Correlation Signal processing algorithms Correlators parallel two dimensional compressed correlator Fast acquisition FFT GNSS |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Electrical and Electronic Engineering Computer Science Applications |
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