分布式信源數(shù)據(jù)域直接位置估計(jì)方法
doi: 10.11999/JEIT170365
基金項(xiàng)目:
國(guó)家自然科學(xué)基金(61401513)，國(guó)家高技術(shù)研究發(fā)展計(jì)劃(2012AA01A502, 2012AA01A505)
Direct Position Determination of the Distributed Source
Funds:
The National Natural Science Foundation of China (61401513), The National High Technology Research and Development Program of China (2012AA01A502, 2012AA01A505)
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摘要: 針對(duì)目前信號(hào)數(shù)據(jù)域直接位置估計(jì)方法對(duì)分布式信號(hào)源進(jìn)行直接定位存在精度下降問(wèn)題，該文提出分布式信源數(shù)據(jù)域直接位置估計(jì)方法。首先構(gòu)建分布式信源直接位置估計(jì)模型，然后分別基于最大似然準(zhǔn)則和特征結(jié)構(gòu)分解思想給出分布式信源高精度直接位置估計(jì)的兩種方法分布源最大似然估計(jì)方法和廣義子空間方法。最后通過(guò)多維搜索完成對(duì)于分布式信源的直接位置估計(jì)。仿真分析表明，該文算法對(duì)分布式信源進(jìn)行直接位置估計(jì)的精度較傳統(tǒng)直接位置估計(jì)算法明顯提升，能夠在較低信噪比下逼近克拉美羅界；分布源最大似然估計(jì)方法在低信噪比下定位精度優(yōu)于廣義子空間方法，而廣義子空間方法復(fù)雜度更低。
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關(guān)鍵詞:
- 陣列信號(hào)處理 /
- 直接定位 /
- 分布式信源
Abstract: The traditional Direct Position Determination (DPD) methods have localization accuracy decrease when locating distributed sources. DPD methods of the distributed source is proposed in this paper to overcome mentioned above shortcoming. Firstly, a DPD model of the distributed source is constructed. Then two new DPD methods based on Maximum likelihood criterion and multiple signal classification are proposed to locate the distributed sourceMaximum Likelihood estimation DPD method of the Distributed source (DML-DPD) and Generalized Subspace DPD method (GS-DPD). Finally, target position is estimated via multidimensional grid search. The simulations show that the proposed methods have higher localization accuracy than traditional DPD methods when locating the distributed source, and are close to CRLB under the low SNR condition. DML-DPD method has higher localization accuracy than GS-DPD method in the case of low SNR, while GS-DPD method has less computational complexity than DML-DPD method. -
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