Abstract:
The present invention provides for power amplifier control of amplifier circuitry including an input stage and one or more output stages. The input stage is powered separately from the output stage by a relatively fixed power source. The one or more output stages are supplied with power via a voltage regulator having a controllable output voltage. A closed loop control integrated with the amplifier stages forces the voltage output of the voltage regulator to track the profile of an adjustable control signal, such as V RAMP .
Abstract:
An amplifier provides two or more selectively enabled amplifier segments allowing a source signal to be amplified with a selectable output power. A bias circuit responsive to a bias control signal enables selectable combinations of one or more amplifier segments, thus allowing selection of a desired output power. Selecting a desired output signal power via the bias control signal corresponds to selecting an overall amplifier quiescent current that decreases with decreasing output signal power. Thus, the amplifier permits a controlling system, such as a mobile terminal (e.g., cellular telephone) to amplify a transmit signal with a selectable transmit signal output power and corresponding level of amplifier quiescent power consumption. Preferably, each segment comprises one or more transistor amplification stages which, when enabled by the bias circuit, are biased to permit maximum power linear amplification for the transmit signal.
Abstract:
A training method provides and advantageous technique for estimating secondary propagation path parameters based on learming propagation path characteristics for a selected number of secondary propagation path signals. In a multipath environment, a received radio signal comprises multiple received signals, each received through a different signal propagation path. The training method includes a course search technique that yields initial identification of the significant secondary path signals, and further includes techniques for characterizing the magnitude, phase, and path delay, all relative to the main path signal for secondary path signal of interest. The training method employs differential decoding and sample phase slicing to improve parameter estimation accuracy, and further includes phase correlation operations to determine secondary path delay, where such delays may have spreads that exceed a transmitted signal symbol period.