A Measurement-Mixed Localization Algorithm in Distributed MIMO Radar System
| Autor: | Lingjiang Kong, Haowen Xie, Yangming Lai, Tao Zhou |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
020301 aerospace & aeronautics
Signal processing Computer science Bandwidth (signal processing) MIMO 020206 networking & telecommunications 02 engineering and technology Mimo radar law.invention System model 0203 mechanical engineering Homogeneous law Communication bandwidth 0202 electrical engineering electronic engineering information engineering Radar Algorithm |
| Zdroj: | ICCAIS |
| DOI: | 10.1109/iccais46528.2019.9074658 |
| Popis: | In this paper, the problem of location with limited communication bandwidth is considered for non-coherent multiple-input multiple-output (MIMO) radar with widely separated antennas. Firstly, we build a MIMO radar system model with limited communication bandwidth and signal processing mechanism of the system. Then we propose a measurement-mixed localization algorithm, which consider the problem of localization joint with parameter and signal measurements in homogeneous noise environment. Our proposed algorithm can explore the potential of the positioning in the communication-limited MIMO radar system and take full advantage of the measurements from the radars to improve localization accuracy. Simulation results show that the measurement-mixed localization algorithm can correctly localize the target with high accuracy under the condition of high signal-to-noise ratio (SNR). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|