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| Citation: | Su Hai, Zhang Xiaojuan, Ye Shengbo, Zhang Qunying, Fang Guangyou. Design of an Ultra-wideband Pseudo Random Coded MIMO Radar Based on Radio Frequency Switches[J]. Journal of Radars, 2017, 6(1): 43-54. doi: 10.12000/JR16076
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Design of an Ultra-wideband Pseudo Random Coded MIMO Radar Based on Radio Frequency Switches
doi: 10.12000/JR16076
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Abstract
A Multiple-Input Multiple-Output (MIMO) ultra-wideband radar can detect the range and azimuth information of targets in real time. It is widely used for geological surveys, life rescue, through-wall tracking, and other military or civil fields. This paper presents the design of an ultra-wideband pseudo random coded MIMO radar that is based on Radio Frequency (RF) switches and implements a MIMO radar system. RF switches are employed to reduce cost and complexity of the system. As the switch pressure value is limited, the peak power of the transmitting signal is 18 dBm. The ultra-wideband radar echo is obtained by hybrid sampling, and pulse compression is computed by Digital Signal Processors (DSPs) embedded in an Field-Programmable Gate Array (FPGA) to simplify the signal process. The experiment illustrates that the radar system can detect the range and azimuth information of targets in real time. -
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References
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- Figure 1. Schematic diagram of radar operating
- Figure 2. Schematic diagram of high-speed pseudo random coded signal
- Figure 3. Timing diagram of hybrid sampling
- Figure 4. Structure of pulse compression computed parallelly
- Figure 5. Schematic diagram of MIMO radar system
- Figure 6. MIMO radar system
- Figure 7. Radar transmitting signal
- Figure 8. Results of pulse compression
- Figure 9. Structure of radio frequency switches
- Figure 10. Results of consistency of all channels
- Figure 11. Results of different attenuation
- Figure 12. Results of different radar systems though the wall
- Figure 13. Experimental scene using 4-input 2-output radar to detect two targets in the air
- Figure 14. Results of different distance of two targets
- Figure 15. Experimental scene using 4-input 2-output radar to detect human through the wall
- Figure 16. Results of human behind the wall