| 摘要: |
| 在单接收天线下，针对频率选择性衰落信道下空时分组码（STBC）的盲识别问题，提出了一种基于Kolmogorov-Smirnov(K-S)检测的有效算法。该算法以经验累积分布函数作为特征函数，通过K-S检测经验累积分布函数之间的距离，达到识别空时分组码的目的。在不同调制方式、采样因子和置信区间的条件下分别对算法进行仿真并讨论其性能，结果表明，该算法性能较好，在信噪比大于6 dB时可达到90%以上的正确识别概率，在非合作通信方面具有一定的实用价值。 |
| 关键词: 空时分组码 信号盲识别 频率选择性衰落信道 Kolmogorov-Smirnov(K-S)检测 经验累积分布函数 |
| DOI： |
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| 基金项目: |
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| Blind identification of space-time block codes over frequency-selective channels |
| YU Keyuan,LIU Futai,ZHONG Zhaogen,YANG Yufeng |
| () |
| Abstract: |
| A novel and efficient algorithm is proposed for frequency-selective fading channels to classify space-time block code（STBC） via Kolmogorov-Smirnov(K-S) test when a single antenna is employed at the receiver. The proposed algorithm exploits the discrimination features provided by the empirical cumulative distributions(CDFs) of the received signal and realizes STBC identification by two-sample K-S test of the distance between CDFs. The algorithm’s performance is compared under the condition of different modulation mode，sampling factors and confidence interval. Monte Carlo simulations demonstrate the good performance of the proposed algorithm，and the probability of correct identification is more than 90 percent when signal-to-noise ratio(SNR) is 6 dB above.The algorithm is well-suited for non-cooperative communications. |
| Key words: space-time block code(STBC) blind recognition frequency-selective fading channel Kolmogorov-Smirnov(K-S) test empirical cumulative distribution functions |
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