中国电子科学研究院学报
中國電子科學研究院學報
중국전자과학연구원학보
JOURNAL OF CHINA ACADEMY OF ELECTRONICS AND INFORMATION TECHNOLOGY
2012年
3期
229-234
,共6页
二维波达方向%松弛算法%行列合成%迭代算法
二維波達方嚮%鬆弛算法%行列閤成%迭代算法
이유파체방향%송이산법%행렬합성%질대산법
2-D direction-of-arrival(2-D DOA)%RELAX%row-column synthesizing%iteration algorithm
针对常规二维波达方向估计的高分辨算法的运算量大和稳健性差,将基于均匀线阵的RE-LAX算法拓展到均匀面阵中,得到了多快拍二维角度估计的二维RELAX(2-DRELAX)算法。对于常见的单目标存在地面反射多径的情况,将2-DRELAX算法进行简化,提出了一种基于行列合成处理和RELAX算法测角的双迭代方法。该方法由某个初始的二维角度出发,首先进行行列合成处理,将面阵接收的数据矩阵合成为行、列天线接收的数据矢量,然后由RELAX算法分别估计方位角和俯仰角,最后由估计的二维角度更新行列合成因子并进行行列合成,得到更精确的二维角度估计,如此迭代直至得到的二维角度满足给定的精度要求。该方法收敛速度快,无需特征值分解和多维搜索,对相关信号不需要解相关处理,具有较高的测角精度和分辨力。
針對常規二維波達方嚮估計的高分辨算法的運算量大和穩健性差,將基于均勻線陣的RE-LAX算法拓展到均勻麵陣中,得到瞭多快拍二維角度估計的二維RELAX(2-DRELAX)算法。對于常見的單目標存在地麵反射多徑的情況,將2-DRELAX算法進行簡化,提齣瞭一種基于行列閤成處理和RELAX算法測角的雙迭代方法。該方法由某箇初始的二維角度齣髮,首先進行行列閤成處理,將麵陣接收的數據矩陣閤成為行、列天線接收的數據矢量,然後由RELAX算法分彆估計方位角和俯仰角,最後由估計的二維角度更新行列閤成因子併進行行列閤成,得到更精確的二維角度估計,如此迭代直至得到的二維角度滿足給定的精度要求。該方法收斂速度快,無需特徵值分解和多維搜索,對相關信號不需要解相關處理,具有較高的測角精度和分辨力。
침대상규이유파체방향고계적고분변산법적운산량대화은건성차,장기우균균선진적RE-LAX산법탁전도균균면진중,득도료다쾌박이유각도고계적이유RELAX(2-DRELAX)산법。대우상견적단목표존재지면반사다경적정황,장2-DRELAX산법진행간화,제출료일충기우행렬합성처리화RELAX산법측각적쌍질대방법。해방법유모개초시적이유각도출발,수선진행행렬합성처리,장면진접수적수거구진합성위행、렬천선접수적수거시량,연후유RELAX산법분별고계방위각화부앙각,최후유고계적이유각도경신행렬합성인자병진행행렬합성,득도경정학적이유각도고계,여차질대직지득도적이유각도만족급정적정도요구。해방법수렴속도쾌,무수특정치분해화다유수색,대상관신호불수요해상관처리,구유교고적측각정도화분변력。
The RELAX algorithm for 2-D direction-of-arrival (2-D DOA) estimation using muh-snapshot is obtained by extending the RELAX algorithm from uniform linear array(ULA) to uniform planar array, which reduces the computational complexity and enhances the robustness. Based on the 2-D RELAX al- gorithm, a dual-iteration algorithm comprising row-column synthesizing and RELAX is proposed to esti- mate the 2-D DOA of single target with reflecting multi-path echo. Starting with some initial 2-D angles, this method synthesizes the received data of planar array into vectors along both the row and column direc- tions. Then RELAX is used to obtain the elevation and azimuth angles respectively. Finally, the weighted factors for row-column synthesizing are reconstructed using the estimated 2-D angles, and the 2-D angles are obtained iteratively until they reach the given precision. The proposed method has high estimation precision and resolution without eigen-decomposition and muhi-dimensional spectral search, and it needs no deeorrelation procedure for coherent signals. Numerical simulation results verify the effectiveness of the method.