Nonlinearity-Based Single-Channel Monopulse Tracking Method for OFDM-Aided UAV A2G Communications
| Autor: | Jian-Kang Zhang, Xi Pan, Chaoxing Yan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
air-to-ground communication
General Computer Science Orthogonal frequency-division multiplexing Computer science General Engineering Tracking (particle physics) frequency selective fading channel Square (algebra) symbols.namesake Additive white Gaussian noise Monopulse radar Antenna element single-channel monopulse tracking OFDM signals symbols General Materials Science Fading nonlinear detection lcsh:Electrical engineering. Electronics. Nuclear engineering Algorithm UAV target tracking lcsh:TK1-9971 Communication channel Computer Science::Information Theory |
| Zdroj: | IEEE Access, Vol 7, Pp 148485-148494 (2019) |
| ISSN: | 2169-3536 |
| Popis: | Unmanned aerial vehicles (UAVs) have attracted great interest in rapid deployment for both civilian and military applications. The conventional UAV monopulse tracking technique requires dedicated pulses which suffer from multipath effect in air-to-ground (A2G) link with low elevation angles, whereas the orthogonal frequency division multiplexing (OFDM) for A2G high rate communication under frequency selective fading channel was not yet investigated for UAV target tracking at ground station. In this paper, we propose a single-channel monopulse tracking (SCMT) angle estimation method in OFDM tracking receiver exploiting squareand absolute-value nonlinear detection of amplitude-modulated difference signals. Extensive simulations are conducted to validate the proposed estimation method in terms of estimation range and estimation root mean squared error (RMSE). Results show that, the proposed angle estimation method exhibits S-shaped curve characteristic under different angle errors, which is insensitive to channels and modulations. The proposed method obtains angle estimation RMSEs smaller than 0.18° for antenna element distanced = 0.5 m with 10 MHz OFDM signals. For both squareand absolute-value methods, a maximum degradation of 0.02° for angle estimation RMSEs is observed under Rician channels compared with the estimation under additive white Gaussian noise (AWGN) channels, whereas the absolute-value estimation outperforms the square-value estimation. |
| Databáze: | OpenAIRE |
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