發(fā)布時(shí)間：2018-04-22 08:42

  本文選題：統(tǒng)計(jì)分辨界 + 統(tǒng)計(jì)檢測(cè)��； 參考：《電信科學(xué)》2017年07期

【摘要】：針對(duì)基于廣義似然比檢驗(yàn)(GLRT)的信號(hào)統(tǒng)計(jì)分辨界(SRL)分析存在計(jì)算較復(fù)雜、難以得到檢測(cè)統(tǒng)計(jì)量解析表達(dá)式等問(wèn)題,提出了一種基于Rao檢測(cè)的SRL分析方法。分析了噪聲方差已知和未知兩種情形下的信號(hào)一維方位角SRL以及噪聲方差已知時(shí)的信號(hào)二維方位角及俯仰角SRL,推導(dǎo)得到了Rao檢測(cè)統(tǒng)計(jì)量以及對(duì)應(yīng)SRL所需的最小信噪比(SNR),分析了檢測(cè)性能、計(jì)算復(fù)雜度,并與GLRT方法進(jìn)行了對(duì)比。仿真實(shí)驗(yàn)驗(yàn)證了Rao檢測(cè)方法的有效性。
[Abstract]:A SRL analysis method based on Rao detection based on Rao detection is proposed to solve the problem that the analysis of the signal statistical resolution boundary (SRL) based on generalized likelihood ratio test (GLRT) is more complex and difficult to obtain the analytical expression of the detection statistics. The one-dimensional azimuth SRL of the signal under the known and unknown noise variance and the known noise variance is known. The two dimensional azimuth and the pitch angle SRL of the signal are obtained. The Rao detection statistic and the minimum signal to noise ratio (SNR) required for the corresponding SRL are derived. The detection performance and the computational complexity are analyzed. The comparison with the GLRT method is made. The validity of the Rao detection method is verified by the simulation experiment.

【作者單位】： 杭州電子科技大學(xué)通信工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金資助項(xiàng)目(No.61271214,No.61301248) 浙江省自然科學(xué)基金重點(diǎn)資助項(xiàng)目(No.LZ14F010003)~~
【分類號(hào)】：TN911.7

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1 陸頂洪;李陽(yáng);梁超杰;王歡;;基于Cramer-Rao界的密集目標(biāo)統(tǒng)計(jì)分辨限[J];北京理工大學(xué)學(xué)報(bào);2014年07期

【共引文獻(xiàn)】

相關(guān)期刊論文 前1條

1 孫閩紅;劉艷芳;鐘華;包建榮;;基于Rao檢驗(yàn)的信號(hào)統(tǒng)計(jì)分辨界分析[J];電信科學(xué);2017年07期

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本文編號(hào)：1786438