基于DMA异构码本循环卡尔曼滤波的抗抖动DOA估计  

DOA estimation with anti-jitter based on DMA heterogeneous codebook cyclic Kalman filtering

作　　者：刘武锭 易鸣[1] 金梁[1] 焦世恒 张炳奇 吕浩宇 LIU Wuding;YI Ming;JIN Liang;JIAO Shiheng;ZHANG Bingqi;LYU Haoyu(Information Engineering University,Zhengzhou 450000,China;Zhengzhou University,Zhengzhou 450001,China)

机构地区：[1]信息工程大学,河南郑州450000 [2]郑州大学,河南郑州450001

出　　处：《电信科学》2025年第3期142-153,共12页Telecommunications Science

基　　金：国家自然科学基金区域创新发展联合基金重点项目(No.U22A2001);自主科研项目(No.a8709)。

摘　　要：动态超表面天线(dynamic metasurface antenna,DMA)已成为空基平台波达方向(direction of ar rival,DOA)估计的优选技术,但其性能易受平台抖动的影响。针对空基平台在DOA估计中面临的角度随机抖动问题,提出了一种基于DMA异构码本循环卡尔曼滤波的抗抖动DOA估计算法。首先,针对角度随机抖动导致的接收端数据非线性问题,提出了一种非线性误差分离方案,将接收数据中的抖动误差转化为易于分离的线性分量,便于后续的抖动分量滤除。其次,为了使接收数据与卡尔曼滤波算法相匹配,提出了一种异构码本循环方案,通过在长时间尺度上构建相同的DMA码字,以支持卡尔曼滤波算法利用累积的时间信息来识别和滤除抖动误差。最后,卡尔曼滤波处理后的数据通过原子范数方法恢复出稀疏信号,并采用基于Han kel矩阵分解的多信号分类(multiple signal classification,MUSIC)方法进行空间谱估计。仿真结果证实,在相同信噪比(signal-to-noise ratio,SNR)条件下,所提方案相较于传统的多次估计平均方案,估计精度提升了48%,估计结果更接近无抖动的理想状态。The dynamic metasurface antenna(DMA)has become an innovative technology designed to estimate the direction of arrival(DOA)for airborne platforms.However,its performance can be significantly impacted by plat form jitter.To address the issue of random angular jitter in airborne DOA estimation,an anti-jitter DOA estimation al gorithm based on DMA heterogeneous codebook cyclic Kalman filtering was proposed.Firstly,a scheme for address ing the nonlinearity in received data due to random angular jitter was proposed.This method transformed jitterinduced errors into linear components,facilitating the subsequent filtering of jitter components.Secondly,a heteroge neous codebook cycling scheme was proposed to ensure compatibility between received data and the Kalman filtering algorithm.This involved constructing identical DMA codewords over extended time scales,enabling the Kalman fil ter to leverage accumulated temporal information for jitter error identification and filtration.Finally,the data pro cessed by the Kalman filter was restored to sparse signals using the atomic norm method.Furthermore,spatial spec trum estimation was performed using the multiple signal classification(MUSIC)algorithm based on Hankel matrix decomposition.The simulation results confirm that,under the exact signal-to-noise ratio(SNR)conditions,the pro posed method improves the estimation accuracy by 48%compared to the traditional approach of averaging multiple estimates.It refines the estimation results to approximate the ideal jitter-free state.

关 键 词：空基 随机抖动 DMA DOA估计 

分 类 号：TP928[自动化与计算机技术]