基于高阶幂的单快拍LDACS系统波达方向估计
Single snapshot DOA estimation algorithm based on high-order power in LDACS
王磊 1高翔 1胡潇潇 1刘海涛1
作者信息
- 1. 中国民航大学 民航航班广域监视与安全管控技术重点实验室,天津 300300
- 折叠
摘要
L波段数字航空通信系统(L band digital aeronautical communication system,LDACS)是未来航空宽带通信重要的基础设施之一,针对LDACS 信号容易受到相邻波道大功率测距仪(distance measuring equipment,DME)信号干扰的问题,提出了联合正交投影干扰抑制与单快拍稀疏分解的波达方向(direction of arrival,DOA)估计方法.通过子空间投影抑制DME干扰,然后使用单快拍数据构建伪协方差矩阵,对伪协方差矩阵求高阶幂,之后进行奇异值分解,并利用约束条件求解稀疏解得到期望信号来向的估计值.所提方法使用高阶伪协方差矩阵降低了噪声影响,仅用单快拍就可以准确估计LDACS信号的入射方向.仿真结果表明,改进单快拍高级幂(improved single snapshot high order power,ISS-HOP)L1-SVD算法的估计精度优于ISS-HOP-MUSIC算法.该方法可以有效抑制DME干扰,提高OFDM接收机性能.
Abstract
The L-band digital aeronautical communication system(LDACS)is one of the essential infrastructures for future aviation broadband communication.To address the problem of interference from adjacent high-power dis-tance measuring equipment(DME)signals,a joint orthogonal projection interference suppression and single-snap-shot sparse decomposition direction of arrival(DOA)estimation method is proposed.Firstly,the DME interference is suppressed by using the subspace projection,and then a pseudo-covariance matrix is constructed by using single-snapshot data.High-order power of the pseudo-covariance matrix is calculated,followed by singular value decompo-sition and sparse solution obtained using constraints to estimate the desired target.The proposed method in this pa-per reduces the impact of noise by utilizing high-order pseudo-covariance matrix,enabling accurate estimation of the DOA of OFDM signals with only a single snapshot.Simulation results show that the estimation accuracy by using ISS-HOP-L1-SVD algorithm is better than that via ISS-HOP-MUSIC algorithm.This method can effectively suppress DME interference and improve the performance of the OFDM receiver.
关键词
L波段数字航空通信系统/测距仪/波达方向估计/改进单快拍高阶幂算法Key words
L-band digital aeronautical communication system(LDACS)/distance measuring equipment(DME)/direction of arrival(DOA)estimation/improved single snapshot high order power(ISS-HOP)algo-rithm引用本文复制引用
基金项目
国家自然科学基金重点项目(U2233216)
中国交通教育研究会教育科学研究课题(202101)
出版年
2024
NETL
NSTL
万方数据