MC-CDMA信號的類型識別及參數(shù)盲估計

周楊; 張?zhí)祢U; 錢文瑞

doi:10.11999/JEIT170166

MC-CDMA信號的類型識別及參數(shù)盲估計

doi: 10.11999/JEIT170166

基金項目:

國家自然科學基金(61371164, 61275099, 61102131)，信號與信息處理重慶市市級重點實驗室建設項目(CSTC2009 CA2003)，重慶市杰出青年基金(CSTC2011jjjq40002)

計量
- 文章訪問數(shù): 1020
- HTML全文瀏覽量: 115
- PDF下載量: 232
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2017-02-27
- 修回日期: 2017-07-07
- 刊出日期: 2017-11-19

Type Identification and Parameters Blind Estimation of MC-CDMA Modulation Signal

Funds:

The National Natural Science Foundation of China (61371164, 61275099, 61102131), The Project of Key Laboratory of Signal and Information Processing of Chongqing (CSTC2009CA2003), The Chongqing Distinguished Youth Foundation (CSTC2011jjjq40002)

摘要

摘要: 針對MC-CDMA信號符號周期、有用數(shù)據(jù)周期、碼片持續(xù)時間以及保護間隔長度等參數(shù)盲估計問題，該文提出一種改進型的循環(huán)自相關算法。首先在接收端對MC-CDMA信號求自相關函數(shù)，取傅氏變換，再在頻域累積，通過檢測不同切片上的譜峰間隔，可以同時估計以上多個參數(shù)。此外，根據(jù)MC-CDMA信號自身特點，提出一種新的估計符號周期方法累加平均法，將3維圖中平行于延時軸的每列譜線累加平均(間隔為符號周期)，可估計出符號周期。理論推導了MC-CDMA信號的循環(huán)自相關表達式，證明加循環(huán)前綴的MC-CDMA信號具有循環(huán)平穩(wěn)性。仿真實驗證明了改進型的頻域累積循環(huán)自相關算法的有效性，且適用于低信噪比環(huán)境。
- MC-CDMA信號 /
- 循環(huán)自相關 /
- 循環(huán)前綴 /
- 符號周期 /
- 正交頻分復用
Abstract: The modified cyclic autocorrelation algorithm is proposed to estimate problems of the useful data period, entire symbol period, chip duration, and guard interval length in MC-CDMA signal. Firstly, the autocorrelation function of the received MC-CDMA signal is computed. Then, Fourier transformation and accumulation in frequency-domain are used. Finally, through detecting the interval of the peak pulses in different slices, parameters mentioned above can be estimated. In addition, a new method of estimating symbol period, the accumulative average method, is developed. By averaging amplitudes of the spectral lines in each column parallel to the delay axis, the symbol duration can be obtained. Cyclic autocorrelation expression of the MC-CDMA signal is derived theoretically, and it is proved that MC-CDMA signal with cyclic prefix has cyclostationary. The simulation results show that, the improved cyclic autocorrelation algorithm is effective in the low signal-to-noise cause.
- MC-CDMA signal /
- Cyclic autocorrelation function /
- Cyclic prefix; Symbol period /
- Orthogonal Frequency Division Multiplex (OFDM) /

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