MPSK信號的最大似然SNR估計(jì)方法
On the Maximum-Likelihood SNR Estimation Algorithm for MPSK Signals
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摘要: 該文利用最大似然準(zhǔn)則分別推導(dǎo)了對于MPSK信號的數(shù)據(jù)輔助SNR估計(jì)方法、判決指向SNR估計(jì)方法和一種新的盲信噪比估計(jì)方法。文章對這些算法的性能進(jìn)行了分析和計(jì)算機(jī)仿真，并與其它一些SNR估計(jì)算法進(jìn)行了比較。分析和仿真的結(jié)果顯示數(shù)據(jù)輔助的SNR方法性能優(yōu)越，很好地符合了信噪比估計(jì)性能下限(CRLB)。判決指向算法性能依賴于判決的準(zhǔn)確程度，在高信噪比時(shí)性能較好；而在低信噪比條件時(shí)，特別是小于OdB以后其估計(jì)有較大偏差。新的盲SNR估計(jì)算法對于BPSK信號具有估計(jì)范圍廣、精度高和復(fù)雜度小的特點(diǎn)，但是當(dāng)M增加時(shí)性能會明顯下降。
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關(guān)鍵詞:
- 最大似然準(zhǔn)則;信噪比估計(jì);MPSK信號;判決指向
Abstract: The data-aimed (DA) Signal-to-Noise Ratio (SNR) estimation algorithm, Decision-Directed (DD) SNR estimation algorithm and a new blind SNR estimation algorithm for MPSK signals are presented in this paper with maximum-likelihood principle. The detail performance analysis, computer simulation and performance comparing with other SNR estimation algorithms are completed. The analysis and simulation results show that the DA algorithm has a perfect performance and as good as the performance lower bounds. The performance of DD algorithm depends directly on the accuracy of decision, so it is good when the SNR is high. But when the SNR is low and, especially, less than OdB, the estimation has relatively great bias. The new blind SNR estimation algorithm has broad estimation range, good performance and low computational complexity for M=2 (BPSK), but the performance degrades while Mis increasing. -
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