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小樣本下基于改進(jìn)的直接數(shù)據(jù)域方法的DOA估計(jì)方法

解虎 黨紅杏 譚小敏 馮大政

解虎, 黨紅杏, 譚小敏, 馮大政. 小樣本下基于改進(jìn)的直接數(shù)據(jù)域方法的DOA估計(jì)方法[J]. 電子與信息學(xué)報(bào), 2016, 38(9): 2371-2376. doi: 10.11999/JEIT151398
引用本文: 解虎, 黨紅杏, 譚小敏, 馮大政. 小樣本下基于改進(jìn)的直接數(shù)據(jù)域方法的DOA估計(jì)方法[J]. 電子與信息學(xué)報(bào), 2016, 38(9): 2371-2376. doi: 10.11999/JEIT151398
XIE Hu, DANG Hongxing, TAN Xiaomin, FENG Dazheng. DOA Estimation Based on the Improved Direct Data Domain Method with One Sample[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2371-2376. doi: 10.11999/JEIT151398
Citation: XIE Hu, DANG Hongxing, TAN Xiaomin, FENG Dazheng. DOA Estimation Based on the Improved Direct Data Domain Method with One Sample[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2371-2376. doi: 10.11999/JEIT151398

小樣本下基于改進(jìn)的直接數(shù)據(jù)域方法的DOA估計(jì)方法

doi: 10.11999/JEIT151398 cstr: 32379.14.JEIT151398

DOA Estimation Based on the Improved Direct Data Domain Method with One Sample

  • 摘要: 針對小樣本甚至單個(gè)樣本情況下,大部分高分辨DOA估計(jì)方法性能下降,不能對臨近目標(biāo)有效分辨的問題,該文提出一種新的基于直接數(shù)據(jù)域技術(shù)的DOA估計(jì)方法,基本思想是通過損失空域自由度達(dá)到提高時(shí)域樣本的目的。首先對陣列進(jìn)行劃分,構(gòu)造多個(gè)新的低維數(shù)據(jù)矢量,其次利用遠(yuǎn)場窄帶信號的復(fù)包絡(luò)在陣列的各個(gè)陣元上的幅度響應(yīng)是近似相同的特點(diǎn),構(gòu)造新的約束。實(shí)驗(yàn)表明,在小樣本下該文算法DOA的分辨能力優(yōu)于傳統(tǒng)直接數(shù)據(jù)域方法。
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出版歷程
  • 收稿日期:  2015-12-09
  • 修回日期:  2016-05-27
  • 刊出日期:  2016-09-19

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