1. A Low SNR and Fast Passive Location Algorithm Based on Virtual Time Reversal
- Author
-
Zhixin Yu and Yong Qing Fu
- Subjects
passive direction finding ,passive positioning ,010504 meteorology & atmospheric sciences ,General Computer Science ,Computer science ,02 engineering and technology ,Radiation ,sensor array ,01 natural sciences ,Signal ,virtual time reversal ,Signal-to-noise ratio ,Sensor array ,0202 electrical engineering, electronic engineering, information engineering ,General Materials Science ,0105 earth and related environmental sciences ,Dilution of precision ,Direction finding ,General Engineering ,020206 networking & telecommunications ,TK1-9971 ,Transmission (telecommunications) ,Array signal processing ,Electrical engineering. Electronics. Nuclear engineering ,Algorithm ,Communication channel - Abstract
In order to achieve fast and accurate passive location of the target radiation source, this paper puts forward a Virtual Time Reversal Method Based on Uniform Linear Array (ULA-VTR) passive location algorithm. This framework employs the passive time reversal focusing theory, which does not to require the physical transmission of time reversal signals and does not require pre-estimation of the channel to realize passive direction finding. The above principle is utilized to perform the target radiation source signal through a uniform linear sensor array for detection. The article provides the signal model of linear time reversal array and the virtual retransmission process in the first place. Then utilizes ULA-VTR to establish a dual-station passive location framework and derives the coordinate transformation equation to find its observation angle, in addition, establishes the observation equation system for obtaining the site of the target radiation source. Ultimately, the paper analyses the computational complexity of the ULA-VTR algorithm and adopts Geometric Dilution of Precision(GDOP) to discuss the positioning performance. The experimental results indicate that the technique presented in this paper has higher positioning accuracy under the low SNR compared with other techniques.
- Published
- 2021