Nonlinear distortion generated in the analog signal processing chain is a significant problem for system designers building high linearity systems. It degrades system performance by generating undesired harmonics and inter-modulation effects and creates a significant technical challenge. This corruption of signal quality and fidelity lowers channel dynamic range, bandwidth, noise immunity and achievable data rates.
The highly complex problem of nonlinear distortion has frustrated engineers for decades. To date, proposed solutions have been inefficient, inadequate, cumbersome or expensive. To reduce the effects of nonlinear distortion, engineers are forced to back off the performance of expensive components, use excessive power to deliver usable signals, and attempt partial adaptive solutions that often run into pitfalls in the real world. Nonlinear distortion is commonly seen as the principal barrier to tapping the optimum performance potential in communications, data conversion and other signal processing applications. At Optichron, we have developed a new mathematical technique for modeling nonlinear distortion, from which we have derived a powerful nonlinear signal processing (NSP) architecture.
Optichron's linearization nonlinear signal processing technology vastly improves signal fidelity by efficiently overcoming nonlinear distortion. Now, for the first time, architects of signal processing-based systems can surpass the challenges caused by nonlinear distortion, avoiding design tradeoffs and achieving significant improvements in cost and performance in a wide range of systems.
