On Disturbed Sequential Hypothesis Testing
Final rept. May 1989-May 1990
SYRACUSE UNIV NY DEPT OF ELECTRICAL AND COMPUTER ENGINEERING
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Sequential hypothesis testing procedures are known to provide a significant advantage over fixed-sample-size FSS hypothesis testing in terms of the average test length. The problem of distributed FSS detection has been treated extensively in the literature recently. On the other hand, the problem of distributed sequential detection has received limited attention. This report deals with some distributed sequential detection procedures and their analysis. The performance of our testing schemes is determined in terms of average sample number ASN and operating characteristic OC functions. Most of the attention is given to parametric schemes in that a centralized testing scheme based on quantized multi-sensor data and two distributed schemes and without fusion and another with fusion are considered. The case of memoryless grouped data sequential MLGDS testing procedure is considered in detail. One distributed nonparametric sequential hypothesis testing procedure is also investigated. Numerical results are presented to demonstrate the superiority of distributed multisensor procedures over the classical single sensor schemes.
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