电子与信息学报
電子與信息學報
전자여신식학보
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY
2015年
7期
1795-1801
,共7页
张东伟%郭英%齐子森%侯文林%张波%李教
張東偉%郭英%齊子森%侯文林%張波%李教
장동위%곽영%제자삼%후문림%장파%리교
信号处理%跳频%极化%波达方向%联合估计%极化敏感阵列
信號處理%跳頻%極化%波達方嚮%聯閤估計%極化敏感陣列
신호처리%도빈%겁화%파체방향%연합고계%겁화민감진렬
Signal processing%Frequency-Hopping (FH)%Polarization%Direction Of Arrival (DOA)%Joint esti-mation%Polarization sensitive array
为了有效辅助跳频(FH)网台分选和信号识别、跟踪,该文用正交偶极子对构造极化敏感阵列,基于空间极化时频分析,在欠定条件下实现了多跳频信号波达方向(Direction Of Arrival, DOA)与极化状态的高效联合估计。首先建立跳频信号的极化敏感阵列观察模型,然后根据参考阵元时频分析结果建立各跳信号的空间极化时频分布矩阵,再利用该矩阵中蕴含的信号极化-空域特征信息分别运用线性、二次型空间极化时频以及多项式求根共3种方法实现DOA与极化参数联合估计,最后蒙特卡罗仿真结果验证了该算法的有效性。
為瞭有效輔助跳頻(FH)網檯分選和信號識彆、跟蹤,該文用正交偶極子對構造極化敏感陣列,基于空間極化時頻分析,在欠定條件下實現瞭多跳頻信號波達方嚮(Direction Of Arrival, DOA)與極化狀態的高效聯閤估計。首先建立跳頻信號的極化敏感陣列觀察模型,然後根據參攷陣元時頻分析結果建立各跳信號的空間極化時頻分佈矩陣,再利用該矩陣中蘊含的信號極化-空域特徵信息分彆運用線性、二次型空間極化時頻以及多項式求根共3種方法實現DOA與極化參數聯閤估計,最後矇特卡囉倣真結果驗證瞭該算法的有效性。
위료유효보조도빈(FH)망태분선화신호식별、근종,해문용정교우겁자대구조겁화민감진렬,기우공간겁화시빈분석,재흠정조건하실현료다도빈신호파체방향(Direction Of Arrival, DOA)여겁화상태적고효연합고계。수선건립도빈신호적겁화민감진렬관찰모형,연후근거삼고진원시빈분석결과건립각도신호적공간겁화시빈분포구진,재이용해구진중온함적신호겁화-공역특정신식분별운용선성、이차형공간겁화시빈이급다항식구근공3충방법실현DOA여겁화삼수연합고계,최후몽특잡라방진결과험증료해산법적유효성。
In this paper, with the purpose of sorting frequency-hopping networks, identifying and tracking signals, a joint estimation of Direction Of Arrival (DOA) and polarization for multiple frequency-hopping signals is carried out in underdetermined condition, which is based on the spatial polarization time-frequency analysis and im-plemented by constructing polarization sensitive array with orthogonal dipole elements. Firstly, the observation model for polarization sensitive array of frequency-hopping signals is built. Then the spatial polarimetric time-frequency distribution matrix for every hop signal is generated in the knowledge of reference sensor time-frequency analysis. From this matrix, the polarization and spatial characteristic information can be extracted, which used for the joint estimation of DOA and polarization in linear, quadratic spatial polarization time-frequency analysis and polynomial rooting methods respectively. Finally, the Monte-Carlo simulation results show the ef-fectiveness of the proposed algorithm.