Calibration of Linear Time-Varying Frequency Errors for Distributed ISAR Imaging Based on the Entropy Minimization Principle

Sensors

Hongyan Zhao¹  Jun Li²  Hailong Kang²  Zhiyu Bao²  Zehua Yu² 

[1] College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, China;National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China;

关键词: distributed ISAR;    entropy minimization principle;    linear time-varying frequency errors;    frequency error calibration;   

DOI  :  10.3390/s19061323

来源: DOAJ

【 摘 要 】

The inevitable frequency errors owing to the frequency mismatch of a transmitter and receiver oscillators could seriously deteriorate the imaging performance in distributed inverse synthetic aperture radar (ISAR) system. In this paper, for this issue, a novel method is proposed to calibrate the linear time-varying frequency errors (LTFE) between the transmitting node and the receiving node. The cost function is constructed based on the entropy minimization principle and the problem of LTFE calibration is transformed into cost function optimization. The frequency error coefficient, which minimizes the image entropy, is obtained by searching optimum solution in the solution space of cost function. Then, the original signal is calibrated by the frequency error coefficient. Finally, the effectiveness of the proposed method is demonstrated by simulation and real-data experiments.

【 授权许可】

Unknown