研究目的
To characterize transmitters by multiple input multiple output (MIMO) Volterra series and identify the dominant effects in the transmitter structure for designing behavioral models and compensation techniques.
研究成果
The technique using input signals of different periodicity to decouple its effects at the output using sample averages was found useful in determining the dominant structure in a MIMO transmitter and can be exploited designing efficient behavioral models and digital compensation techniques.
研究不足
The technique requires input signals of different periodicity and may be affected by measurement noise, especially in the estimation of the cross-kernel.
1：Experimental Design and Method Selection:
The methodology involves decomposing the MIMO Volterra series into self-kernels and cross-kernels using input signals of different periodicity.
2：Sample Selection and Data Sources:
Two independently generated noise-like signals with distinct prime numbers T1 = 2399 and T2 = 2411 samples were used.
3：List of Experimental Equipment and Materials:
Two SMBV100A vector signal generators (VSG) from Rohde & Schwarz and 2 acquisition paths sampled with an ADC ADQ214 from SP devices.
4：Experimental Procedures and Operational Workflow:
The signals were up converted to
5：14 GHz exciting the power amplifiers operated at 2 dB of output compression. The measurement collects T = T1 × T2 samples. Data Analysis Methods:
The self-kernels are estimated through averaging and the cross-kernel by an arithmetic difference.
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