Mediatek Corporation

Industrial Technology Research Institute

I-Ping Chang

Chun-Ming Kuo

Ho-Chi Huang

Chi-Yeh Yu

Shih-Kung Chang

Jeng-Yi Tsai

Keng-Ming Huang

Chia-Chen Hsu

Wei-Sheng Yin

Hung-Shiun Fu

YingYing Chen

Yuan Ho

Hung-Yi Teng

Wei-nan Sun

Chia-Shing Huang

I-Hsien Li

An estimation device is provided. The distance estimation device includes a calibration circuit and a distance estimation circuit. The calibration circuit may receive channel state information (CSI), and obtain signal-path power and noise-path power according to the CSI, and perform calculation to divide the signal-path power by the noise-path power to obtain a signal-power calibration value. The distance estimation circuit is coupled to the calibration circuit. The distance estimation circuit receives a received signal strength indication (RSSI) and the signal-power calibration value, and obtains a path-loss exponent according to the RSSI and the signal-power calibration value, and obtains a distance-estimation value according to the signal-power calibration value and the path-loss exponent.

Distance estimation device and method and signal-power calibration method

A communication apparatus is provided. A processor receives a measurement control message carrying information about a filtering coefficient via a radio transceiver module, periodically measures signal quality of at least one cell to obtain a plurality of measurement results, periodically filters the measurement results according to a first measurement period to obtain a plurality of filtered results, and determines whether to transmit a measurement report to a system controller in the wireless communication network according to the filtered results. The filtering coefficient is assigned by the system controller to filter the measurement results according to a second measurement period. The second measurement period is longer than the first measurement period

Signal processing method and communication apparatus utilizing the same

A dummy burst detection method. The method begins with generating a dummy burst nominal power &#x3b7;of a received burst and a normal burst nominal power &#x3b7;of the received burst, wherein the dummy burst nominal power &#x3b7;is generated based on the hypotheses that the received burst is a dummy burst, and the normal burst nominal power &#x3b7;is formed based on the hypotheses that the received burst is a normal burst. A likelihood of the received burst is determined according to the dummy burst nominal power &#x3b7;, the normal burst nominal power &#x3b7;, and the noise power of the received burst.

Dummy burst detecting method and apparatus

A mobile device capable of scaling input data and a method thereof. The mobile device comprises a data segmentation module, a quality measure module, and a scaling module. The data segmentation module divides the input data into a plurality of subdata. The quality measure module, coupled to the data segmentation module, calculates signal quality of each subdata. The scaling module, coupled to the quality measure module, scales each subdata according to corresponding signal quality.

Method of scaling input data and mobile device utilizing the same

A mobile communication device and a data reception method implemented thereby are provided. An antenna receives a signal, and an inner receiver demodulates the received signal to generate an equalizer output. A channel decoder is coupled to the inner receiver, decoding the equalizer output to generate a data sequence. A quality estimator estimates signal quality of the received signal to generate a quality value. An error checker selectively performs cyclic redundancy code (CRC) check or CRC correction on the data sequence according to the quality value.

Mobile communication device and data reception method

A synchronization circuit includes a correlator, an energy calculator, a post-processing unit, and a decision device. The correlator correlates a received sequence r(t) with a local sequence c(i) to obtain a correlation result h(t). The energy calculator calculates an energy function of the correlation result h(t), and filters the energy function of the correlation result by a channel impulse response w(l) to obtain a filtered energy function e(t), where l is the index of the channel impulse response. The post-processing unit applies weighting function w(t) to the filtered energy e(t) to obtain a weighted energy function e'(t), wherein the weighting function w(t) weights a central portion of the filtered energy function e(t). The decision device selects a maximum energy value from the weighted energy function e&#x2032;(t), and the time index t with maximum energy value is the time shift of the received sequence and the local sequence.

Timing synchronization in wireless communication system

A method of frequency estimation includes (a) receiving frequency correction channel (FCCH) data samples; (b) calculating an estimated frequency offset based on the received data samples; (c) compensating the received data samples using the estimated frequency offset; (d) repeating steps (b)-(c) for a predetermined number of iterations by substituting the compensated data samples for the received data samples in step (b); and (e) summing the estimated frequency offset of each iteration to calculate an overall estimated frequency offset.

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Tainan, Taiwan

I-Ping Chang