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논문검색

Reducing the Number of Sensors in a Linear Antenna Array by ℓp Norm Minimization Algorithm

원문정보

Jinli Chen, Huasong Cao, Jiaqiang Li, Junxiang Ge

보안공학연구지원센터(IJSIP) International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.9 2016.09 pp.25-32
피인용수 : 0건 (자료제공 : 네이버학술정보)

초록

영어

The excitations and locations of sensors in the non-uniformly spaced array affect the array performance such as sidelobe level and spatial resolution. Consequently, finding the optimal excitation coefficients and sensor positions of the array to produce a desired beam pattern with the smallest number of sensors is of great importance in practice. With the aim of reducing the number of the sensors in a linear antenna array, a novel method based on ℓp (0

목차

Abstract
 1. Introduction
 2. Sparse Array Synthesis Problem
 3. Sparse Array Synthesis via IRWL1 and ℓp Norm Minimization
  3.1. Sparse Array Synthesis Method Based on IRWL1
  3.2. Sparse Array Synthesis Method Based on ℓp Norm Minimization
 4. Simulation Result
 5. Conclusion
 Acknowledgments
 References

키워드

저자정보

  • Jinli Chen Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China, College of Electronic and Information Engineering, Nanjing University of Information Science and Technology,Nanjing 210044, China, Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing 210044, China
  • Huasong Cao Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China, College of Electronic and Information Engineering, Nanjing University of Information Science and Technology,Nanjing 210044, China, Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing 210044, China
  • Jiaqiang Li Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China, College of Electronic and Information Engineering, Nanjing University of Information Science and Technology,Nanjing 210044, China, Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing 210044, China
  • Junxiang Ge Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China, College of Electronic and Information Engineering, Nanjing University of Information Science and Technology,Nanjing 210044, China, Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing 210044, China

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자료제공 : 네이버학술정보

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