Convolutional Neural Network-based Target Detection Method for Passive Bistatic Radar using FM Broadcasting Signals

Park, Geun-Ho; Kim, Hyoung-Nam

doi:10.5573/ieie.2020.57.12.70

Cited by 2 publications

(1 citation statement)

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“…However, this method requires the transmission of electromagnetic signals into the environment, which makes the system have a complex and bulky structure and high power consumption. In contrast, passive radars have simpler structures and lower power consumption because they do not actively transmit electromagnetic signals into the environment and only use external public signals as the signal source [3][4][5][6][7]. Additionally, passive radar systems do not require a complex structure for the signal-transmitting device, which allow them to be miniaturized and consume minimal power.…”

Section: Introductionmentioning

confidence: 99%

Flying Target Detection Technology Based on GNSS Multipath Signals

Zhu,

Dong

et al. 2024

Sensors

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In this study, a passive radar system that detects flying targets is developed in order to solve the problems associated with traditional flying target detection systems (i.e., their large size, high power consumption, complex systems, and poor battlefield survivability). On the basis of target detection, the system uses the multipath signal (which is usually eliminated as an error term in navigation and positioning), enhances it by supporting information, and utilizes the multi-source characteristics of ordinary omnidirectional global navigation satellite system (GNSS) signals. The results of a validation experiment showed that the system is able to locate a passenger airplane and obtain its flight trajectory using only one GNSS receiving antenna. The system is characterized by its light weight (less than 5 kg), low power consumption, simple system, good portability, low cost, and 24/7 and all-weather work. It can be installed in large quantities and has good prospects for development.

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Section: Introductionmentioning

confidence: 99%