Natural Hazards

, Volume 94, Issue 3, pp 1043–1055 | Cite as

Application of an improved DPCA algorithm in rock-fall monitoring based on synthetic aperture radar

  • Qian Zhang
  • Jing Wang
  • Peng LinEmail author
  • Lili Hou
Original Paper


Rockfalls influence the safety of the surrounding infrastructure and the normal operation of transportation lines. The application of synthetic aperture radar (SAR) technology is a new method of rock-fall monitoring and disaster prediction. This paper proposes a new method of dynamic monitoring and parameter estimation for rockfalls based on a multichannel airborne SAR system. First, the signal model of the multichannel airborne SAR system is derived. Then, to improve performance, the traditional displaced phase centre antenna (DPCA) method is extended to three or more receiver channels. This method can be effectively applied for rock-fall target detection, as well as to precisely estimate rock-fall target parameters and resolve the ambiguity issues associated with the estimation of rock-fall target parameters. Finally, simulation results are used to validate the proposed approach.


Rock-fall target detection Parameters estimation Multichannel synthetic aperture radar system Displaced phase centre antenna 



This work was supported by the National Natural Science Foundation of China (51609138), Natural Science Foundation of Hebei Province (E2017210147), Collaborative Innovation Center for Disaster Prevention & Mitigation of Large Basic Infrastructure in Hebei Province, and 2018 Traffic and Transportation Science and Technology Planning Project in Hubei Province, the Shandong Provincial Natural Science Foundation (Grant No.: ZR2018BEE045) and the China Postdoctoral Science Foundation (2018M630780). Great appreciation goes to the editorial board and the reviewers of this paper.


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Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  1. 1.Shijiazhuang Tiedao UniversityShijiazhuangChina
  2. 2.Geotechnical and Structural Engineering Research CenterShandong UniversityJinanChina

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