Modeling Signals of Opportunity Scattering from Earth's Surface with an Improved Bistatic Radar Equation

2018 ◽  
Author(s):  
Valery U. Zavorotny ◽  
Alexander G. Voronovich
Keyword(s):  
Bistatic Radar ◽  
Signals Of Opportunity ◽  
Radar Equation

Bistatic Radar Equation for Signals of Opportunity Revisited

2018 ◽  
Vol 56 (4) ◽  
pp. 1959-1968 ◽  
Author(s):  
Alexander G. Voronovich ◽  
Valery U. Zavorotny
Keyword(s):  
Bistatic Radar ◽  
Signals Of Opportunity ◽  
Radar Equation

The bistatic radar equation for randomly distributed targets

1971 ◽  
Vol 59 (6) ◽  
pp. 1019-1021 ◽  
Author(s):  
P.J. Rogers ◽  
P.J. Eccles
Keyword(s):  
Bistatic Radar ◽  
Radar Equation

scholarly journals Study on the Detectability of the Sky-Surface Wave Hybrid Radar

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Hou Chengyu ◽  
Ke Guo ◽  
Shi Tiange ◽  
Wang Yuxin
Keyword(s):  
Electromagnetic Wave ◽  
Surface Wave ◽  
High Frequency ◽  
Propagation Loss ◽  
Sea Surface ◽  
Bistatic Radar ◽  
High Frequency Band ◽  
Reflection Point ◽  
Ionospheric Height ◽  
Radar Equation

Working in the HF (high-frequency) band and the transmitter and receiver locating separately, the sky-surface wave hybrid radar both has the capabilities of the OTHR (over-the-horizon radar) and the advantage of the bistatic radar. As the electromagnetic wave will be disturbed by the ionosphere, interfered by the sea clutter and attenuated by the sea surface, the detectability of this radar system is more complex. So, in this paper, we will discuss the problem detailedly. First of all, the radar equation is deduced based on the propagation of the electromagnetic wave. Then, how to calculate the effect of the ionosphere and the propagation loss is discussed. And an example based on the radar equation is given. At last, the ambiguity function is used to analyze the range and velocity resolution. From the result, we find that the resolution has relation with the location of the target and the height of reflection point of the ionosphere. But compared with the location, the effect of the ionospheric height can be ignored.

scholarly journals Simulation Analysis of Detection Area for Flying Wing Layout UAV Using X-Band Bistatic Radar

2021 ◽  
Vol 2137 (1) ◽  
pp. 012030
Author(s):  
Wenjian Liu ◽  
Jiajun Xiong ◽  
Song He ◽  
Xuhui Lan ◽  
Liang Xia ◽  
...  
Keyword(s):  
Trajectory Optimization ◽  
Simulation Analysis ◽  
Simulation Software ◽  
Bistatic Radar ◽  
Detection Range ◽  
Electromagnetic Model ◽  
Detection And Tracking ◽  
X Band ◽  
Single Station ◽  
Radar Equation

Abstract The shape design of flying wing UAV can effectively reduce the detection and tracking probability of single-station radar. Bistatic radar has the advantage of anti-stealth for stealth targets due to the characteristics of multi-station distribution. However, there is no literature to study the detection area of flying wing UAV by bistatic radar. To solve this problem, FEKO electromagnetic simulation software is used to establish the X-band electromagnetic model of X-47B UAV, and the bistatic RCS of 0° pitch angle is simulated. According to the bistatic radar equation, the effective detection area of X-47B UAV lateral flight is simulated. The results show that the detection range of bistatic radar is mainly in the vicinity of 5 banded regions and bistatic radar. The five strip regions in the effective detection range correspond to the five bright lines of bistatic RCS one by one. When the baseline of bistatic radar is 20 km, the effective detection range is the largest. The research provides data support for the layout optimization of bistatic radar station and the trajectory optimization of flying wing UAV.

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