本文選題：近場(chǎng)源　切入點(diǎn)：旋轉(zhuǎn)　出處：《電子學(xué)報(bào)》2017年03期

【摘要】：基于陣列的信源定位在無線通信、雷達(dá)、聲納等領(lǐng)域運(yùn)用廣泛.針對(duì)均勻圓陣下單個(gè)高頻近場(chǎng)源參數(shù)估計(jì)存在相位模糊的情況,本文提出利用旋轉(zhuǎn)使同一陣元形成虛擬短基線的解模糊算法.首先,為了對(duì)旋轉(zhuǎn)前后兩組觀測(cè)數(shù)據(jù)進(jìn)行配準(zhǔn),在圓陣中心設(shè)置參考陣元并利用其初始相位差對(duì)其他陣元數(shù)據(jù)進(jìn)行相位補(bǔ)償;隨后,在通過復(fù)共軛積計(jì)算各陣元旋轉(zhuǎn)前后無模糊相位差的基礎(chǔ)上,使用最小二乘法反演出近場(chǎng)源的方位、俯仰和距離;進(jìn)一步地,利用反演得到的無模糊近場(chǎng)源參數(shù)消除旋轉(zhuǎn)前最長(zhǎng)基線陣元間接收信號(hào)的相位差模糊,得到長(zhǎng)基線下的高精度參數(shù);最后,利用仿真實(shí)驗(yàn)驗(yàn)證了本文算法在高頻單近場(chǎng)源下的解模糊性能.
[Abstract]:Source location based on array is widely used in wireless communication, radar, sonar and so on. In this paper, a deblurring algorithm is proposed to make the same burst element form a virtual short baseline by rotation. Firstly, in order to register two sets of observation data before and after rotation, The reference element is set in the center of the circular array and the phase compensation of other array elements is carried out by using its initial phase difference. Then, on the basis of calculating the no fuzzy phase difference before and after the rotation of each element by complex conjugate product, The azimuth, pitch and distance of the near-field source are inversed by the least square method, and the phase difference ambiguity of the received signals between the longest baseline array elements before rotation is eliminated by using the non-fuzzy near-field parameters obtained by inversion. The high precision parameters under the long baseline are obtained. Finally, the performance of the proposed algorithm is verified by simulation experiments under the high frequency single near-field source.
【作者單位】： 國(guó)防科學(xué)技術(shù)大學(xué)電子科學(xué)與工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(No.61401481,No.61271442)
【分類號(hào)】：TN820

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