Signal processing techniques and DSP hardware structures for dynamic estimation and compensation of absolute and relative gain/phase variations in mobile devices

We introduce system architectures and algorithms with related DSP hardware structures to dynamically estimate and compensate for relative/absolute gain variations in any analog or digital signal processing paths. In addition, the presented techniques are used to calibrate and compensate for relative signal phase shifts occurring in a mobile device. The techniques described in this thesis are implemented in a mobile device to dynamically estimate and compensate for absolute and relative signal power variations from the desired power levels. These techniques help to prolong battery life of the mobile device and to reduce signal-to-interference ratio (SIR) at the base-station. In addition the described system algorithms are implemented using efficient digital circuitry which eliminates the bulky analog components which were originally used for this purpose. The digital circuit implementation makes the mobile device less susceptible to variations in temperature, frequency of operation and manufacturing processes. The digital area of the implemented digital circuitry is found to be around 22K gates and the digital current drain is approximately 20mA. System lab measurements show that the mobile system is able to compensate better than 0.1dB absolute and relative power level accuracy and also result in phase estimation accuracy better than 1 degree.