AhstradWe have developed a complete single&@ GPS &ver using 0.18~11 CMOS to mzl sevaal important requhements, such as small size, low power, low m and,h& Sensitivity for mobile GPS apphtions. Tnis is the first case in which a radio has been successfuUy comhii with a baseband p " r , such as Soc., in a GPS receiver. Ihe GPS chq, with a t o t a l size of 6.4x6.4q contains a 2.3x2.G" radio part, including RF fmnt e 4 P a , IF functions, and 5ooK gates of baseband logic, including mask ROM, SRAM and Dual Port SRAM[l]. It's fabricated using 0.18-um CMOS Technology with a MIM option and ope" fmm a 1.6 to 2. C-V power supply. Experk& results show a v q low power consumpfion os typically, 57mW for a fuUy fundod chip including baseband and a high sensitivity of -1SOdBm llmugh comunameasures for subsbate coupling noise fmm the digital the high sensitivdy was successfully achieved without any extanal LNA.

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A 1‐bit serial transceiver chip set for the full‐color moving picture was developed. It introduced a new data coding for the serial transmission and novel circuits to realize high frequency operation with low power consumption. It was able to transmit the XGA picture with 480mW.

Soft decision decoding is a decoding method which tries to improve the error‐correcting capability by utilizing the information concerning the reliability of the received symbol. One of the soft decision decoding methods for practically useful block code, is APP (a posteriori probability) decoding applicable to the majority‐logic de‐codable code. In APP decoding, the error is decided for each symbol as in majority‐logic decoding. This paper proposes a new decoding method (variable threshold APP decoding), in which the error‐correcting capability is improved by controlling the order of error decisions in APP decoding. the performance is evaluated by simulation. As a result, it is shown that the variable threshold APP decoding exhibits better characteristics than APP decoding and approximate APP decoding both in bit error rate and block error rate. When, for example, the proposed decoding is applied to (73, 45) difference set cyclic code, a coding gain of 1.0 dB is obtained compared with the approximate APP decoding. In the proposed decoding method, the time required for decoding is increased, while the hardware scale is almost the same as that of the approximate APP decoding.