Mstar Semiconductor, Inc.

Via Technologies, Inc.

Shao-Ping Hung

Ching-Hsiang Chuang

Tien-Hsin Ho

Tai-Lai Tung

Tung-Sheng Lin

Jeff Lin

Yu-Hsien Ku

Tien Hsin Ho

Szu-Lin Su

A method and associated apparatus using delay correlation for determining whether an input signal is a target signal is provided. The method includes sampling the input signal to generate 2N sample values, the sample values having a period N, where N is a positive integer; calculating the 2N sample values to obtain a first value according to a first operation method; calculating the 2N sample values to obtain a second value according to a second operation method; obtaining a determination value according to the first value and the second value; and determining whether the input signal is the target signal according to the determination value and a threshold.

Target signal determination method and associated apparatus

A method applied to a receiver of a wireless network for determining an unknown quantity of antennas of a transmitter according to a received network is provided. The method includes: delaying the network signal according to a sum of a reference period and an estimated shift interval to provide a delayed signal; calculating a correlation between the network signal and the delayed signal to generate a correlation index; comparing the correlation index and a threshold to provide a comparison result; and determining the unknown quantity of transmitting antennas according to the comparison result.

Method and associated apparatus applied to receiver of wireless network for determining quantity of antennas of transmitter

A soft decision method for determining a soft decision coordinate associated with a constellation is provided. The soft decision coordinate includes a first soft decision sub-coordinate and a second soft decision sub-coordinate. The method includes receiving an input signal including a coordinate value; defining a first coordinate range on a coordinate axis in the constellation, the first coordinate range having a first limit and a second limit; obtaining the first soft decision sub-coordinate according to the first coordinate range; defining a second coordinate range on the coordinate axis in the constellation, the second coordinate range having a third limit and a fourth limit; and obtaining the second soft decision sub-coordinate according to the second coordinate range; wherein the first and the third limit do not simultaneously equal to the second and the fourth limit.

Soft decision method and associated signal receiving system

A decoding method for determining a preferred survivor path in a decoding process is provided. The method includes calculating a first determination value of a first survivor path at a first time point, the first determination value being determined by a first sub determination value and a second determination value at a second time point, and the second time point being prior to the first time point; calculating a third determination value of a second survivor path at the first time point, the third determination value being determined by a second sub determination value and a fourth determination value at the second time point; and when a difference between the first determination value and the third determination value is equal to or less than a predetermined value, determining the preferred survivor path at the first time point according to the second and the fourth determination values, or the first and the second sub determination values.

Decoding method and associated apparatus

A signal processing system is provided. The system includes a calculating apparatus, for calculating a phase error of a received signal and generating a weight according to the phase error; a signal adjusting apparatus, coupled to the calculating apparatus, for generating a plurality of soft values according to the weight and the received signal; and a decoder, coupled to the signal adjusting apparatus, for decoding the soft values to generate data.

Signal processing system and method thereof

The present invention discloses a method and apparatus of IQ imbalance compensation for a receiver. The repetitive attribute of the preamble in a signal received by the receiver is used to estimate the IQ imbalance parameters. The data carried by the preamble repeats itself every N sampling intervals. A MSE equation is derived based on assuming the ratios between any two sampling points separated by N samples are identical, and the IQ imbalance parameters can be estimated by solving the MSE equation using the LS algorithm. Consequently, the IQ mismatch offset of the signal is compensated according to the estimated parameters.

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Hsinchu Hsien, Taiwan

Shao-Ping Hung