Interference Suppression Using Adaptive Nulling Algorithm Without Calibration Sources

EasyChair Preprint no. 5289

Abstract

Interference suppression using adaptive nulling algorithm is an important array signal processing technique for radar/sonar sensing. However, in long term task, most of the arrays’ parameters vary from time to time, which need known sources to recalibrate. To be free of calibration sources, this paper presents an adaptive nulling algorithm using array observation data. We first establish the model of SV mismatches due to gain-phase error and sensor shifting. Then the angle-related bases of received signal subspace are estimated by applying a joint optimization method consists of Genetic algorithm and quasi-Newton method. In the end, the array weighting vector can be calculated, and the results of several numerical simulations are demonstrated, which shows that the proposed algorithm can significantly improve the interference suppression performance of sensor array.

Keyphrases: Adaptive nulling, signal subspace, steering vector estimation, Uncalibrated array

@Booklet{EasyChair:5289,
  author = {Peng Chen and Wei Wang and Jingjie Gao},
  title = {Interference Suppression Using Adaptive Nulling Algorithm Without Calibration Sources},
  howpublished = {EasyChair Preprint no. 5289},

  year = {EasyChair, 2021}}