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TDS-OFDM receiver self-adaptive channel estimation balancing method and system

A technology of adaptive channel and equalization method, applied in the field of digital information transmission, which can solve the problems of increasing the complexity and cost of the communication system, instability, and difficulty in implementation

Inactive Publication Date: 2005-10-05
TSINGHUA UNIV
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Problems solved by technology

The range of 256-tap feedback FIR filter to offset multipath echo is only about 20us, including 64 taps for forward filtering and 192 taps for feedback filtering, which greatly increases the complexity and cost of the communication system
DFE also has a big defect: in the case of strong multipath, since DFE is an infinite impulse response structure (IIR), it is easy to self-excite and unstable
However, these basic estimation algorithms are relatively complex and difficult to implement. Some scholars have given a simple algorithm through simple linear interpolation

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  • TDS-OFDM receiver self-adaptive channel estimation balancing method and system
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  • TDS-OFDM receiver self-adaptive channel estimation balancing method and system

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Embodiment Construction

[0115] The multipath delay time in the terrestrial wireless TV transmission channel varies in length, some are short-term multipath, some are long-term multipath, and sometimes the transmission channel is time-invariant and stable. Therefore, the adaptive channel estimation and equalization method proposed by the present invention is to adaptively adopt the time-domain correlation method, the frequency-domain PN transform method and the Choose one of the three methods of domain decision feedback method for channel estimation and channel equalization. The theoretical analysis and specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0116] We first describe channel equalization using time-domain correlation channel estimation in the case of short-term multipath. Tsinghua DMB-T system adopts time-domain synchronous orthogonal frequency division multiplexing (TDS-OFDM) modulation technology, does not inse...

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Abstract

The method decomposes received TDS - OFDM signal into two parts: frame synchronization of PN code and DFT data. Based on characteristics of transmission channel, one of following methods is selected to carry out channel estimation: (1) time domain correlation method of PN code is selected, when channel possesses short time multipath disturbance; (2) frequency domain PN transformation approach is selected when channel possesses long time multipath disturbance; (3) frequency domain decision directed feedback method is selected when channel possesses stability characteristics of invariant time. The invention is realized at FPGA of Tsinghua DMB - T, ASIC version receiver. Favorable effect is obtained through actual try out broadcasting and testing, and performance is better than other system evidently.

Description

technical field [0001] The invention belongs to the technical field of digital information transmission, and in particular relates to an adaptive channel estimation and equalization method and system of a Time Domain Synchronous OFDM (TDS-OFDM) digital television receiver. Background technique [0002] There are various multipath and fading phenomena in the terrestrial wireless TV broadcasting transmission channel (mainly VHF and UHF frequency bands), which cause static / dynamic multipath interference and Doppler effect. It is a complex frequency selective fading channel. The channel is assumed to be time-invariant and stable. However, in mobile situations, terrestrial over-the-air television broadcast channels may also be time-varying. [0003] In order to obtain better receiving performance, accurate channel estimation is required for channel compensation. At present, the measures taken for channel compensation are mainly divided into two categories: equalizer and OFDM mo...

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Application Information

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IPC IPC(8): H04J11/00H04L27/02H04N7/015
Inventor 杨知行杨林
Owner TSINGHUA UNIV
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