基于聯(lián)合對角化的近場源參數(shù)估計
Parameter Estimation of Near Field Sources Using Joint Diagonalization
-
摘要: 該文提出了一種基于聯(lián)合對角化的近場源信號到達方向和距離的聯(lián)合估計算法。首先利用二階統(tǒng)計量構(gòu)造白化矩陣，再基于陣列接收數(shù)據(jù)的高階累積量矩陣的對角結(jié)構(gòu)信息利用聯(lián)合對角化方法估計近場信號的陣列方向矩陣，從而由陣列導(dǎo)向矢量聯(lián)合估計信號源的到達方向和距離。與高階ESPRIT方法相比，該方法能夠提高陣元利用效率，同時不需要參數(shù)配對算法。計算機仿真實驗證實了所給算法的有效性。
-
關(guān)鍵詞:
- 陣列信號處理; DOA估計; 距離估計; 四階累積量; 聯(lián)合對角化
Abstract: A new algorithm to estimate jointly the Direction-Of-Arrival (DOA) and range of near field sources is presented. Firstly, the whiten matrix is constructed by use of the second order statistics, and then the array steering matrix of near field sources is estimated by use of joint diagonalization of the array cumulant matrices, which exploits the structural information of the higher order statistics of the data received by the array. Thus the DOA and range can be estimated from the array steering vectors simultaneously. Compared with the higher-order ESPRIT method, the new algorithm can improve the efficiency of elements. In addition, it does not need any operation of parameters pairing. Its good performance is verified by computer simulation results. -
計量
- 文章訪問數(shù): 2234
- HTML全文瀏覽量: 75
- PDF下載量: 704
- 被引次數(shù): 0
下載:
