Diversity Reception Apparatus for Mobile ATSC with Fast Fading Tracking
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Solution Overview
Problem
Existing ATSC receivers face challenges in mobile reception due to low dynamic multipath tolerance and difficulty in tracking fast fading channels, particularly in environments with frequency selective noise, which affects their ability to provide high tolerance to noise types like impulse and frequency selective noise.
Innovation Solution
A diversity reception apparatus that includes branch processing units with channel estimation and noise power spectrum calculation, using adaptive filters to estimate channel characteristics and noise power spectra, allowing for optimal diversity combination and equalization coefficients to improve signal tolerance and reduce computational complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If adaptive equalization technique is used in ATSC receivers, then fixed reception performance is improved, but mobile reception tracking capability deteriorates due to inability to track fast fading channels
Solution Approach 1:
The patent replaces the adaptive equalization mechanism (which adjusts equalization coefficients dynamically) with a channel estimation mechanism that uses pilot symbols to directly estimate channel impulse response. This substitution allows the system to track fast fading channels more effectively by analytically calculating optimal coefficients from estimated channel characteristics rather than iteratively adapting them
Solution Approach 2:
The patent performs preliminary channel estimation using embedded pilot symbols before data reception. By pre-estimating the channel impulse response and pre-calculating optimal diversity combination and equalization coefficients based on this estimation, the system prepares in advance for incoming data, enabling faster tracking of channel variations without requiring real-time adaptive adjustments during data reception
2Reliability
If diversity reception is implemented to improve multipath tolerance, then signal combination performance is improved, but computational complexity increases due to optimization of multiple coefficients
Solution Approach 1:
The patent replaces complex iterative optimization algorithms for calculating diversity combination coefficients with analytical calculations based on estimated channel impulse response. By substituting the optimization mechanism with a direct calculation approach using pilot symbols, the system reduces computational complexity while maintaining accurate coefficient determination for diversity reception
Solution Approach 2:
The patent enables the system to self-determine optimal diversity combination coefficients by using the estimated channel impulse response from pilot symbols. The channel estimation result directly provides the basis for calculating coefficients without requiring external optimization algorithms, allowing the system to autonomously adapt to channel conditions with reduced computational burden
3Speed
If receiver is designed for mobile reception with fast fading channel tracking, then tracking performance is improved, but tolerance to frequency selective noise deteriorates
Solution Approach 1:
The patent applies different processing approaches to different signal components: pilot symbols are used for channel estimation to capture fast fading characteristics, while data symbols benefit from the estimated channel impulse response for noise mitigation. This localized application of channel estimation to specific signal portions allows simultaneous improvement of tracking performance and noise tolerance without compromising either aspect
Data Source
AI summary
A receiver having a high frequency selectivity noise tolerance is achieved on a small calculation scale by way of an received signal spectrum (RSS) calculation part, that calculates a received signal spectrum on the basis of a complex baseband signal (CBB) signal transmitted from a frontend, a channel frequency response (CFR) estimation part, that calculates an estimated channel characteristic and a residual signal on the basis of the CBB signal and estimated transmitted symbols estimated by a trellis decoder, and a noise power spectrum (NPS) estimation part, that calculates an estimated noise power spectrum on the basis of the residual signal calculated by the CFR estimation part. A combination part combines a plurality of received signal spectrums on the basis of the received signal spectrum, estimated channel characteristics and estimated noise power spectrum. An equalization part performs equalization of the combination result, thereby calculating an equalized spectrum.


