Blind identification-blind equalization for Finite Impulse Response (FIR) Multiple Input-Multiple Output (MIMO) channels can be reformulated as the problem of blind sources separation. It has been shown that blind ide...Blind identification-blind equalization for Finite Impulse Response (FIR) Multiple Input-Multiple Output (MIMO) channels can be reformulated as the problem of blind sources separation. It has been shown that blind identification via decorrelating sub-channels method could recover the input sources. The Blind Identification via Decorrelating Sub-channels(BIDS)algorithm first constructs a set of decorrelators, which decorrelate the output signals of subchannels, and then estimates the channel matrix using the transfer functions of the decorrelators and finally recovers the input signal using the estimated channel matrix. In this paper, a new approximation of the input source for FIR-MIMO channels based on the maximum likelihood source separation method is proposed. The proposed method outperforms BIDS in the presence of additive white Gaussian noise.展开更多
A fully integrated 3GHz low-power and low-phase-noise voltage-controlled oscillator （VCO） with a self-biasing current source was implemented in a standard 0.18μm CMOS process. A trade-off between noise and power wa...A fully integrated 3GHz low-power and low-phase-noise voltage-controlled oscillator （VCO） with a self-biasing current source was implemented in a standard 0.18μm CMOS process. A trade-off between noise and power was realized through the optimization of the improved current source. The VCO can be tuned from 2.83 to 3.25GHz with a 13.8% tuning range. The measured phase noise at 1MHz offset is -111dBc/Hz at a frequency of 3.22GHz while the core circuit draws less than 2mA from a 1.8V supply voltage. These results make the circuit suitable for a 5GHz wireless local area network （WLAN） receiver and 3.4 to 3.6GHz world interoperability for microwave access （WiMAX） application.展开更多
基金Supported by the National Natural Science Foundation of China (No.60172048)
文摘Blind identification-blind equalization for Finite Impulse Response (FIR) Multiple Input-Multiple Output (MIMO) channels can be reformulated as the problem of blind sources separation. It has been shown that blind identification via decorrelating sub-channels method could recover the input sources. The Blind Identification via Decorrelating Sub-channels(BIDS)algorithm first constructs a set of decorrelators, which decorrelate the output signals of subchannels, and then estimates the channel matrix using the transfer functions of the decorrelators and finally recovers the input signal using the estimated channel matrix. In this paper, a new approximation of the input source for FIR-MIMO channels based on the maximum likelihood source separation method is proposed. The proposed method outperforms BIDS in the presence of additive white Gaussian noise.
基金the National Natural Science Foundation of China(No.60276021)the State Key Development Program for Basic Research of China(No.G2002CB311901)~~
文摘A fully integrated 3GHz low-power and low-phase-noise voltage-controlled oscillator （VCO） with a self-biasing current source was implemented in a standard 0.18μm CMOS process. A trade-off between noise and power was realized through the optimization of the improved current source. The VCO can be tuned from 2.83 to 3.25GHz with a 13.8% tuning range. The measured phase noise at 1MHz offset is -111dBc/Hz at a frequency of 3.22GHz while the core circuit draws less than 2mA from a 1.8V supply voltage. These results make the circuit suitable for a 5GHz wireless local area network （WLAN） receiver and 3.4 to 3.6GHz world interoperability for microwave access （WiMAX） application.
