Texas Instruments Corporation

Qualcomm Incorporated

Markos Troulis

Arndt Mueller

Karl E Fitzke

RaviKiran Gopalan

Yu-Han Yang

Seyed Mohammad Ehsan Hosseini

A method for wireless communication is described. The method includes receiving a signal that is pattern-mapped and Gaussian frequency-shift keying (GFSK) modulated. The method also includes performing a joint demapping and demodulation of the received signal based on a stored accumulated phase. The method may further include updating the stored accumulated phase based on the joint demapping and demodulation.

Systems and methods for joint demodulation and demapping

In at least some embodiments, a system may comprise one or more devices configurable to communicate according to a first protocol that permits interpretation of transmitted symbols associated with a first time duration. The system may further comprise one or more devices configurable to communicate according to a second protocol that permits interpretation of transmitted symbols associated with multiple time durations. The one or more devices configurable to communicate according to the second protocol are operable to communicate using transmitted symbols associated with the first time duration and to communicate using transmitted symbols associated with a time duration that is not supported by the one or more devices configured to communicate according to the first protocol.

Methods and systems for communicating using transmitted symbols associated with multiple time durations

A method and apparatus for deriving the channel estimation within a packet based transmission system having a predetermined number of tones (N), wherein each channel has a channel order (L). A first method includes precomputing, from the long sequence (X) of a received signal, a channel estimation matrix (R) having a dimension of width and length equal to the channel order (L) and storing one fourth of the channel estimation matrix (R) since the channel estimation matrix (R) is centrosymmetric. Advantageously, precomputing and storing a fourth of the channel estimation matrix (R) saves time and complexity. In a second method, the bit-width requirement for fixed precision requirements regarding implementation in hardware is reduced wherein a channel estimation matrix (G) having dimension of width equal to the number of tones (N) and length equal to the channel order (L) is precomputed and stored. Thereby, not only has the task of precomputing and storing the channel estimation matrix (G) saved time and complexity, but also the bit-width requirement for fixed precision implementation in hardware has been lowered.

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Markos Troulis