Abstract:
A digital pre-distortion system which can provide the flexibility to model the highly non-linear distortion associated with High Efficiency RF Power Amplifiers while through a novel implementation of a least squares estimation process allows an implementation well suited for an FPGA application where limited resources and in particular memory resources are available.
Abstract:
A digital pre-distortion system which can provide the flexibility to model the highly non-linear distortion associated with High Efficiency RF Power Amplifiers while through a novel implementation of a least squares estimation process allows an implementation well suited for an FPGA application where limited resources and in particular memory resources are available.
Abstract:
A PIM (passive intermodulation) diagnosis is generated for one or more wireless networks which have equipment deployed at a plurality of cell sites. Data is received representing PIM detection results from PIM detection devices at the cell sites, the detected PIM including PIM caused by passive intermodulation between carriers of the one or more wireless networks. The data representing respective PIM detection results is normalized to account for transmission power and frequency allocation of respective cell sites, and the normalized data representing respective PIM detection results is correlated with data relating to a condition of respective cell sites and/or an environment of the respective cell sites to produce correlation results. The PIM diagnosis is generated in dependence on the correlation results.
Abstract:
A digital pre-distortion system which can provide the flexibility to model the highly non-linear distortion associated with High Efficiency RF Power Amplifiers while through a novel implementation of a least squares estimation process allows an implementation well suited for an FPGA application where limited resources and in particular memory resources are available.