吉林大学学报(信息科学版) ›› 2022, Vol. 40 ›› Issue (2): 307-312.

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VoIP 模式地空通信数据链信号特征量识别算法

吕方舟   

  1. 中国民用航空西北地区空中交通管理局 宁夏空管, 银川 750000
  • 收稿日期:2021-06-21 出版日期:2022-06-11 发布日期:2022-06-13
  • 作者简介:吕方舟(1990— ), 男(回族), 山东寿光人, 中国民用航空西北地区空中交通管理局工程师, 主要从事 VoIP 和地空数据链等研究, (Tel)86-15609501168(E-mail)lvfangzhou123@ 163. com.
  • 基金资助:
    宁夏自然科学基金资助项目(2020. 08-2022. 08)

Signal Feature Recognition Algorithm for VoIP Ground to Air Communication Data Link

Lǚ Fangzhou   

  1. Ningxia Air Traffic Control, CAAC Northwest Regional Administration, Yinchuan 750000, China
  • Received:2021-06-21 Online:2022-06-11 Published:2022-06-13

摘要: 地空通信数据链在地面与空中信息传递中具有重要作用, 为准确分析数据链信息交换情况, 提出基于 粒子群和减法聚类的数据链信号特征量识别算法。 将包络改变情况作为数据链信号划分依据, 利用求平方谱 策略提取信号载频、 带宽和码元速度等基础特征。 使用小波变换明确信号小波能量谱, 引入能量聚点理念分析 信号特征量性质, 选择能量谱差别明显的频段, 创建数据链信号特征量模型。 融合粒子群和减法聚类方法搜索 重建星座图, 明确粒子最佳解与全局种群最佳解, 计算星座图最佳减法聚类半径, 输出最佳聚类为最终的信号 特征量识别结果。 实验结果表明, 所提方法信号特征量识别精度较高, 抗干扰性强, 可实现快速准确的 VoIP (Voice over Internet Protocol)模式地空通信数据链实时信息交互。

关键词: VoIP 模式; , 地空通信; , 数据链; , 小波能量谱; , 特征量识别

Abstract: The data chain of ground to air communication plays an important role in the information transmission between the ground and the air. In order to analyze the information exchange of the data chain accurately, a new algorithm of data chain signal feature recognition based on particle swarm optimization and subtraction clustering is proposed. The envelope change is regarded as the basis of data chain signal division, and the basic features of signal carrier frequency, bandwidth and symbol speed are extracted using the strategy of square spectrum. The energy spectrum of signal is defined by wavelet transform, and the feature properties of signal are analyzed by the concept of energy fusion point. The frequency band with obvious energy spectrum difference is selected to create the feature quantity model of data chain signal. The particle swarm and subtraction fusion are integrated with Class method to search and reconstruct constellation. The best solution of particle and global population is defined. The fitness function of particle swarm is constructed, the cluster radius of the best subtraction method of constellationis calculated and the best cluster as the final signal feature recognition result is output. The experimental results show that the proposed method has high precision and strong ability of anti-interference, and can realize the real-time information interaction of VoIP ( Voice over Internet Protocol ) for ground to air communication data chain.

Key words: voice over internet protocol (VoIP) mode; , ground to air communication; , data link; , wavelet energy spectrum; , feature recognition

中图分类号: 

  • TP392