A Gaussianization-based performance enhancement approach for coded digital PCM/FM

A Gaussianization-based performance enhancement approach for coded digital PCM/FM

Xinglai Wang Xiaoqian Chen  Yan Wang  Guojiang Xia 

College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China

Beijing Institute of Astronautical Systems Engineering, Beijing 100076, China

Corresponding Author Email: 
dafengq@126.com
Page: 
52-56
|
DOI: 
10.18280/rces.040202
Received: 
|
Accepted: 
|
Published: 
30 June 2017
| Citation

OPEN ACCESS

Abstract: 

The BER performance of the coded digital PCM/FM telemetry system is dependent on the accuracy of the input likelihood metrics, which are greatly influenced by the click noise. This paper presents a Gaussianization approach to lessen the influence of the click noise. The outputs of the limiter/discriminator are first modeled by a Gaussian mixture model, whose parameters are estimated by the expectation maximization algorithm, and then the amplitudes are adjusted by a proposed Gaussianization filter so that they become more accurate through likelihood metrics. When (64, 57)2 TPC is applied, simulation results show the coding gain is 0.8dB at 10-4 BER level.

Keywords: 

PCM/FM, Limiter/Discriminator, Gaussianization, Turbo Product Codes, LDPC

1. Introduction
2. Review of Coded Digital PCM/FM System
3. Gaussianization Approach
4. The Proposed Gaussianzation Scheme
5. Simulation Results
6. Conclusions
  References

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