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Preliminary Technical
Data
Rev. PrA | Page 14 of 82
accuracy of coefficient estimation. ADI recommends the number of samples be set to 16384, which provides a good balance
between accuracy of estimation of coefficients and processing time.
For successful captures, the transmitter to observation channel external signal routing needs to be conveyed to the firmware
through the API adi_adrv9025_TxToOrxMappingSet().
For accurate estimation of pre-distortion coefficients, the transmitter and observation receiver samples are aligned in time by the
sample capture engine in the transceiver. To align the samples, the external path delay initial calibration needs to be executed.
using the API adi_adrv9025_InitCalsRun() with a mask value of ADI_ADRV9025_EXTERNAL_PATH_DELAY (= 0x00200000) along
with the requisite Tx channel mask.
DPD Sample Capture Process
The DPD algorithm implements a peak detection-based capture strategy since the high-power signal levels contain more useful
information for deriving DPD coefficients. The device’s calibration scheduler can initiate DPD capture at any available point in
time when the transmit signal chain is enabled. The sequence of events involved in DPD sample capture process is shown in
Figure 17. DPD Tracking Calibration Sample Capture Sequence
Peak Search Window and Peak Detection Based Capture
The DPD capture engine contains a peak detector that triggers captures on the largest peak seen in a specified time window as
shown in Figure 18. Peak detection occurs at the DPD input and after CFR correction is applied.
The peak detection time window is specified in number of samples at the DPD actuator rate using the API
adi_adrv9025_DpdTrackingConfgSet() through the parameter adi_adrv9025_DpdTrackingConfig_t.dpdPeakSearchWindowSize.
While longer peak search windows result in more accurate high-power DPD modeling, the capture process also takes longer to
complete
.
The goal of peak search window optimization is to increase the probability of capturing high-power data without
Содержание ADRV9029
Страница 59: ...Preliminary Technical Data Rev PrA Page 59 of 82 Figure 62 Target PAR vs EVM ...
Страница 64: ...Preliminary Technical Data Rev PrA Page 64 of 82 Figure 65 CLGC modes of operation during bring up ...
Страница 69: ...Preliminary Technical Data Rev PrA Page 69 of 82 Figure 69 CLGC Active Loop Gain Control update cycle ...