基于ICA和特征提取的MIMO信號(hào)調(diào)制識(shí)別算法
doi: 10.11999/JEIT190320
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重慶郵電大學(xué)通信與信息工程學(xué)院 重慶 400065
MIMO Signal Modulation Recognition Algorithm Based on ICA and Feature Extraction
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School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
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摘要: 針對(duì)非協(xié)作通信中多輸入多輸出(MIMO)信號(hào)的盲調(diào)制識(shí)別,該文提出一種基于獨(dú)立分量分析(ICA)和特征提取的調(diào)制識(shí)別算法。根據(jù)空分復(fù)用MIMO系統(tǒng)各發(fā)送天線上信號(hào)的獨(dú)立性,利用ICA算法從接收的混合信號(hào)中分離出發(fā)射信號(hào)。為實(shí)現(xiàn)全盲條件下的調(diào)制識(shí)別,在進(jìn)行ICA分離前,利用最小描述長(zhǎng)度(MDL)準(zhǔn)則估計(jì)發(fā)射天線數(shù)。在得到發(fā)射信號(hào)之后,首先利用6階累積量、循環(huán)譜和4次方譜算法構(gòu)造4個(gè)特征參數(shù),然后利用分層結(jié)構(gòu)的神經(jīng)網(wǎng)絡(luò)分類器識(shí)別信號(hào)的調(diào)制類型。仿真結(jié)果表明,所提方法可在較低信噪比下對(duì){2PSK, 2ASK, 2FSK, 4PSK, 4ASK, MSK, 8PSK, 16QAM}8種MIMO信號(hào)進(jìn)行有效識(shí)別,當(dāng)發(fā)送天線數(shù)為2、接收天線數(shù)為5、信噪比為2 dB時(shí),識(shí)別率可達(dá)到98%以上。
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關(guān)鍵詞:
- 信號(hào)處理 /
- 多輸入多輸出信號(hào) /
- 獨(dú)立分量分析 /
- 6階累積量 /
- 循環(huán)譜 /
- 神經(jīng)網(wǎng)絡(luò)
Abstract: For blind modulation recognition of Multiple Input Multiple Output (MIMO) signals in non-cooperative communication, a modulation recognition method based on Independent Component Analysis (ICA) and feature extraction is proposed. According to the signal independence of each transmitting antenna in space division multiplexing MIMO system, the ICA algorithm is used to separate the transmitting signal from the received mixed signal. In order to realize modulation recognition under completely blind condition, the Minimum Description Length (MDL) criterion is used to estimate the number of transmitting antennas before ICA separation. After obtaining the transmitted signal, four characteristic parameters are constructed by using six-order cumulant, cyclic spectrum and fourth-power spectrum algorithm, and then the modulation type of the signal is identified by using hierarchical neural network classifier. The simulation results show that the proposed method can effectively recognize {2PSK, 2ASK, 2FSK, 4PSK, 4ASK, MSK, 8PSK, 16QAM} eight MIMO signals at low SNR. When the number of transmitting antennas is 2, the number of receiving antennas is 5 and the SNR is 2dB, the recognition rate can reach more than 98%. -
表 1 各調(diào)制信號(hào)的高階累積量
累積量 2PSK 4PSK 8PSK 2ASK 4ASK 2FSK MSK 16QAM $\left| {{C_{21}}} \right|$ 1 1 1 1 1 1 1 1 $\left| {{C_{42}}} \right|$ 2 1 1 2 1.36 1 1 0.68 $\left| {{C_{63}}} \right|$ 13 4 4 13 9.16 4 4 2.08 下載: 導(dǎo)出CSV
表 2
${N_{\rm{t}}} \times {N_{\rm{r}}} = 4 \times 5$ 時(shí)的識(shí)別率(%)調(diào)制類型 –2 dB 0 dB 2 dB 4 dB 6 dB 8 dB 10 dB 2PSK 80.6 85.7 89.5 94.0 97.0 98.8 100 2ASK 82.4 87.3 92.0 95.2 97.0 99.3 100 2FSK 89.0 93.0 94.8 97.3 100 100 100 4PSK 89.4 93.0 96.9 98.2 98.8 100 100 4ASK 85.0 87.0 90.2 96.0 100 100 100 MSK 88.5 92.4 96.0 98.3 99.5 100 100 8PSK 91.0 95.0 97.8 99.0 100 100 100 16QAM 87.0 92.3 95.6 98.2 100 100 100 下載: 導(dǎo)出CSV
表 3
${N_{\rm{t}}} \times {N_{\rm{r}}} = 4 \times 6$ 時(shí)的識(shí)別率(%)調(diào)制類型 -2 dB 0 dB 2 dB 4 dB 6 dB 8 dB 10 dB 2PSK 83.7 88.0 95.0 98.2 99.4 100 100 2ASK 84.5 90.3 96.0 98.4 100 100 100 2FSK 91.3 96.0 98.2 99.5 100 100 100 4PSK 91.6 96.4 97.5 100 100 100 100 4ASK 89.0 94.4 98.0 99.2 100 100 100 MSK 91.0 95.0 97.3 100 100 100 100 8PSK 93.0 97.2 99.3 100 100 100 100 16QAM 91.0 95.3 98.4 100 100 100 100 下載: 導(dǎo)出CSV
表 4
${N_{\rm{t}}} \times {N_{\rm{r}}}{\rm{ = 2}} \times {\rm{5}}$ 時(shí)的識(shí)別率(%)調(diào)制類型 -2 dB 0 dB 2 dB 4 dB 6 dB 8 dB 10 dB 2PSK 89.0 93.1 98.3 99.0 100 100 100 2ASK 91.6 95.0 98.2 99.0 100 100 100 2FSK 93.4 98.3 99.5 100 100 100 100 4PSK 95.8 98.3 100 100 100 100 100 4ASK 92.0 97.0 99.6 100 100 100 100 MSK 94.0 97.6 98.8 100 100 100 100 8PSK 96.8 99.3 100 100 100 100 100 16QAM 94.3 98.0 100 100 100 100 100 下載: 導(dǎo)出CSV
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