Sensors 2010, 10(5), 4717-4738; doi:10.3390/s100504717
Article

Signal Existence Verification (SEV) for GPS Low Received Power Signal Detection Using the Time-Frequency Approach

Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan 70101, Taiwan
* Author to whom correspondence should be addressed.
Received: 29 March 2010; in revised form: 30 April 2010 / Accepted: 4 May 2010 / Published: 10 May 2010
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Abstract: The detection of low received power of global positioning system (GPS) signals in the signal acquisition process is an important issue for GPS applications. Improving the miss-detection problem of low received power signal is crucial, especially for urban or indoor environments. This paper proposes a signal existence verification (SEV) process to detect and subsequently verify low received power GPS signals. The SEV process is based on the time-frequency representation of GPS signal, and it can capture the characteristic of GPS signal in the time-frequency plane to enhance the GPS signal acquisition performance. Several simulations and experiments are conducted to show the effectiveness of the proposed method for low received power signal detection. The contribution of this work is that the SEV process is an additional scheme to assist the GPS signal acquisition process in low received power signal detection, without changing the original signal acquisition or tracking algorithms.
Keywords: GPS signal acquisition; time-frequency analysis; low received power signal processing

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MDPI and ACS Style

Jan, S.-S.; Sun, C.-C. Signal Existence Verification (SEV) for GPS Low Received Power Signal Detection Using the Time-Frequency Approach. Sensors 2010, 10, 4717-4738.

AMA Style

Jan S-S, Sun C-C. Signal Existence Verification (SEV) for GPS Low Received Power Signal Detection Using the Time-Frequency Approach. Sensors. 2010; 10(5):4717-4738.

Chicago/Turabian Style

Jan, Shau-Shiun; Sun, Chih-Cheng. 2010. "Signal Existence Verification (SEV) for GPS Low Received Power Signal Detection Using the Time-Frequency Approach." Sensors 10, no. 5: 4717-4738.

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