低信噪比下非數(shù)據(jù)輔助的OFDM系統(tǒng)信道階數(shù)和噪聲方差的估計
doi: 10.11999/JEIT150599
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1.
(南開大學(xué)計算機與控制工程學(xué)院 天津 300071) ②(南開大學(xué)電子信息與光學(xué)工程學(xué)院 天津 300071)
基金項目:
天津市應(yīng)用基礎(chǔ)與前沿技術(shù)研究計劃(14JCYBJC16100)
The Non-data-aided Channel Order and Noise VarianceEstimation in the Low SNR Region of OFDM Signals
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1.
(College of Computer and Control Engineering, Nankai University, Tianjin 300071, China)
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2.
(College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300071, China)
Funds:
Natural Science Foundation of Tianjin (14JCYBJC16100)
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摘要: 在低信噪比情況下，該文提出一種新的針對正交頻分復(fù)用(OFDM)系統(tǒng)信道階數(shù)和噪聲方差的非數(shù)據(jù)輔助(NDA)估計算法。算法中應(yīng)用了一種新的基于聯(lián)合極大幾何均值(MGM)的代價函數(shù)。新的代價函數(shù)不僅利用了循環(huán)前綴(CP)冗余性，同時也利用了信道記憶性。對比只利用了CP的方法，該算法可以在低信噪比情況下更準(zhǔn)確地估計信道階數(shù)和噪聲方差。仿真結(jié)果表明，在低信噪比情況下，該算法針對信道階數(shù)的估計得到約10 dB的信噪比增益；同時，對噪聲方差的估計，該算法顯著提高了估計精度，抑制了信噪比20 dB以下估計性能惡化的現(xiàn)象。
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關(guān)鍵詞:
- 正交頻分復(fù)用 /
- 信道階數(shù)和噪聲方差估計 /
- 低信噪比 /
- 非數(shù)據(jù)輔助 /
- 聯(lián)合極大幾何均值
Abstract: This paper proposes a new Non-Data-Aided (NDA) scheme to estimate the channel order and noise variance in the low Signal to Noise Ratio (SNR) region of Orthogonal Frequency Division Multiplexing (OFDM) signals. In this scheme, a new cost function is derived based on the joint Maximum Geometric Mean (MGM) which relies on both the Cyclic Prefix (CP) redundancy and channel memory. Compared with the schemes which only rely on the CP, more accurate estimations of channel order and noise variance can be obtained from this joint MGM cost function. Simulation results show that the proposed channel order estimator gets approximately 10 dB SNR gain in the low SNR region. Meanwhile, the proposed noise variance estimator outperforms significantly the other existing NDA algorithms, and suppresses the performance deterioration when SNR below 20 dB. -
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