A Novel Pseudoerror Monitor
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A Novel Pseudoerror Monitor Peng Wang Center for Signal Processing, School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore 639798 Email: [email protected]
Wee Ser Center for Signal Processing, School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore 639798 Email: [email protected] Received 10 April 2003; Revised 14 September 2003; Recommended for Publication by Tomohiko Taniguchi The error rate (ER) is a crucial criterion in evaluating the performance of a digital communication system. Many ER estimation methods have been described in the literature. Among them, the pseudoerror monitoring solution has attracted special attention due to its consistent performance in diļ¬erent environments and distinctive blind estimation capability, that is, estimating the ER without needing any prior knowledge of the transmitted information. In this paper, a novel pseudoerror monitor (PEM) design, the kernel PEM, is developed. Incorporating the strength of the probability density function (pdf) approximation technique, the proposed design has remarkable advantage of being able to produce statistically consistent ER estimate within a much shorter observation time. Simulation results are given in support of this claim. Keywords and phrases: error rate estimation, pseudoerror monitor, density function approximation.
1.
INTRODUCTION
One of the primary goals of a digital communication system is to provide users with reliable data transmission service. Being the most straightforward measure of the reliability of data transmission, not surprisingly, the error rate (ER) has been widely recognized as a crucial criterion in evaluating the performance of a digital communication system. Many ER estimation methods have been described in the literature, for example, the error counting solution [1], the parameter estimation solution [1, 2, 3, 4, 5], the probability density function (pdf) approximation-based solution [6, 7, 8], the pseudoerror monitoring solution [1, 9, 10, 11, 12, 13, 14, 15], and so forth. Among them, the pseudoerror monitoring scheme has attracted special attention due to its distinctive blind estimation capability and consistent performance in various environments. The conventional pseudoerror monitor (PEM) designs, however, require a relatively long observation time to produce statistically reliable estimates at low ERs. In this study, a novel PEM design, termed kernel PEM, has been developed. By exploiting the pdf approximation technique, the proposed design successfully reduces the observation time without degrading the overall quality of the ER estimate. This paper is organized as follows. In Section 2, the principle of the pseudoerror monitoring approach is introduced. In Section 3, the kernel density-approximation technique is reviewed. Section 4 describes the kernel PEM design, sum-
marizes its advantages, and proposes an iterative method to attain the optimum estimation. Simulation results are given in Section 5 to demonstrate the superiority of the
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