Nokia Mobile Phones Limited

Other

Taiwan Semiconductor Manufacturing Comp. Ltd.

Lsi Logic Corporation

Infineon Technologies North America Corp.

Stash F Czaja

Ilkka J Niva

Sakari Jorri

Hong Yang

Feng Qian

Kraig Lamar Anderson

Sanguoon Chung

Sunguoon Chung

Jim Robertson

Iikka Niva

Xiaojun Li

A method and system for mobile assisted handoff between base stations using different carrier frequencies in a Code Division Multiple Access (CDMA) cellular system. In the method and apparatus, a mobile station performs handoff measurements on forward link transmissions of handoff candidate CDMA base stations, where the forward link transmissions are transmitted on a carrier frequency that differs from the forward link carrier frequency of the current base station. The handoff measurements are performed during selected transmission frames that define transmission periods on the reverse link by the mobile station. During the measurement time in the selected transmission frame, the mobile station does not receive (punctures) data sent to it on the forward link and does not transmit data on the reverse link.

Mobile station handoff between different CDMA frequencies

A system for sending multimedia information from at least one base station to one or more mobile stations via at least one wireless communication link includes at least one multimedia source for generating the multimedia information. At least one processor is coupled to the multimedia source for generating a number of data streams derived from the multimedia information on a media control access (MAC) layer. At least one data channel modulator is coupled to the processor for mapping the data streams into a number of data packets on a forward packet data channel between the base station and the mobile station, using a physical layer signaling based on a code-division multiple access (CDMA) or orthogonal frequency division modulation (OFDM) technology.

System and method for digital multimedia broadcasting

Provided is an analog-to-digital converter that includes a first analog-to-digital conversion (ADC) stage connected to input a first analog signal and a second ADC stage connected to input a second analog signal produced by the first ADC stage. A tone detector enables the second ADC stage from a disabled state when a first condition indicating the presence of a high-level interference tone is satisfied and disables the second ADC stage from an enabled state when a second condition indicating the absence of a high-level interference tone is satisfied.

Variable dynamic range analog-to-digital converter

A rate determination unit and methods for use in a receiver in a communication system that is adapted to receive communications at a plurality of different data rates is disclosed. The rate determination unit is configured to receive an encoded signal and determine the encoded signal's data rate without first requiring decoding of the encoded signal. In a preferred embodiment, the rate determination unit includes a plurality of hypothesis units and a hypothesis analyzer. Each hypothesis unit is arranged to determine a hypothesis value for a frame of the encoded signal at an associated one of the data rates. The hypothesis analyzer is arranged to compare selected hypothesis values, determine the frame data rate based on such comparisons, and output a rate indication signal based on the determined frame data rate. Preferably, a first one of the hypothesis units is arranged to sum a first plurality of absolute values that are associated with discrete samples, and a second one of the hypothesis units is arranged to sum a second plurality of absolute values. Each of the second plurality of absolute values is a sum of a plurality of samples.

Apparatus and methods for determining rate of transmitted variable rate data

A decoding method for use in a communications system employing a communication channel in which a message is convolutionally encoded by a base station encoder and transmitted to a remote terminal during a time slot allocated to at least that remote terminal. The encoder is not completely reset immediately prior to the allocated time slot such the encoder state is unknown at the onset thereof. The decoding method includes assigning a most likelihood probability for an initial encoder state as being one of a number of predetermined encoder states; and, convolutionally decoding ensuing bits of the message based on the assumption of the initial encoder state as one of the predetermined states. The method affords low error rate decoding, and allows for improved power conservation by a mobile station, since the mobile station need not awaken significantly prior to its allocated time slot. Preferably, a Viterbi decoder is used to perform the convolutional decoding. The method has particular utility when used for decoding page messages indicative of call notifications in a paging channel of a code division multiple access (CDMA) wireless telecommunications system.

Method and apparatus for decoding continuously coded convolutionally encoded messages

A method and system for mobile assisted hand-off between base stations using different carrier frequencies in a Code Division Multiple Access (CDMA) cellular system. In the method and apparatus, a mobile station performs handoff measurements on forward link transmissions of handoff candidate CDMA base stations, where the forward link transmissions are transmitted on a carrier frequency that differs from the forward link carrier frequency of the current base station. The handoff measurements are performed during selected transmission frames that define transmission periods on the reverse link by the mobile station. During the measurement time in the selected transmission frame, the mobile station does not receive (punctures) data sent to it on the forward link, and does not transmit data on the reverse link.

Mobile assisted hard hand-off for a code division multiple access (CDMA)

A method in accordance with this invention includes the steps of (a) decoding a received signal and determining, for individual ones of n data rates, a value of a total cumulative metric associated with a most likely path through a decoder trellis; (b) comparing the value of the total cumulative metric to a plurality of total cumulative metric threshold values, individual ones of the plurality of total cumulative metric threshold values corresponding to an expected total cumulative metric for an individual one of the n data rates and being one of fixed or adaptively determined; and (c) identifying the received data rate based on the comparison. The step of determining a total cumulative metric includes the steps of (a) processing branch metrics to determine survivor metrics; (b) normalizing individual ones of the survivor metrics to form normalized survivor metrics; (c) accumulating the normalized survivor metrics to form cumulative metrics; (d) accumulating normalization values used to normalize each of the normalized survivor metrics; (e) at the end of decoding, outputting a cumulative metric that corresponds to a most likely path through the trellis; and (f) combining an accumulated normalization value with the outputted cumulative metric to form the total cumulative metric.

Methods and apparatus for performing rate determination with a variable

This invention teaches a method, and circuits that operate in accordance with the method, for decoding data received from a communications channel. The method includes the steps of: (a) receiving a modulated communications signal that conveys block encoded data having at least a data field and a syndrome data field; and (b) determining transition metrics and path metrics for the block encoded data. The step of determining path metrics includes a step of retaining path metrics only for a Maximum-Likelihood (ML) path and for a second best ML path. The method further includes a step of: (c) decoding the block encoded data by performing either a full or a partial traceback operation for both the ML path metrics and also for the second best ML path metrics. In a full traceback there is obtained from the ML path a first plurality of detected bits representing the data field, a second plurality of detected bits from the ML path representing the syndrome data field, a third plurality of detected bits from the second best ML path representing the data field, and a fourth plurality of detected bits from the second best ML path representing the syndrome data field. A next step (d) determines a syndrome from the first plurality of detected bits, and then compares the determined syndrome to the second plurality of detected bits. Upon a match a next step (e) outputs the first plurality of detected bits as a received frame of data. If the step of comparing the determined syndrome to the second plurality of detected bits does not indicate a match, the method instead: (f) determines a syndrome from the third plurality of detected bits; (g) compares the determined syndrome to the fourth plurality of detected bits and, upon a match, (h) outputs the third plurality of detected bits as a received frame of data.

Viterbi decoder with l=2 best decoding paths

A double dwell, maximum likelihood, serial sliding acquisition system (10) employs two thresholds which are a function of maximum likelihood thresholds, and not predetermined optimal thresholds. The two thresholds have values that are signal dependent, and are obtained in real time from a correlation of a received PN signal and a locally generated PN sequence during the acquisition process. The acquisition system continuously monitors the reliability of the detected signal. As a result, the decision making process is continuously performed so as to terminate the acquisition process whenever the detected signal is determined to be reliable. The acquisition system employs a principle that an optimal threshold level, in the power domain, is 6 dB lower than that of the maximum likelihood signal. The acquisition system obtains the maximum signal power from a maximum likelihood detector portion to adaptively update a threshold estimate, and then uses the adaptive threshold estimate for monitoring the reliability of the detected signal. After the reliable signal is detected the search process continues for an additional interval of time which is a function of a false alarm probability. The limited interval for which the search process continues is preferably a fraction or multiple of the second, longer dwell time. This additional searching interval is referred to as a post-detection search interval. During the post-detection search interval, the acquisition system monitors the received signal samples and, when no additional signal is detected, the acquisition process is terminated.

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Cardiff, CA, United States of America

Stash F Czaja