Robust Detection, Discrimination, and Remediation of UXO: Statistical Signal Processing Approaches to Address Uncertainties Encountered in Field Test Scenarios SERDP Project MR-1663

2012 ◽  
Author(s):  
Leslie M. Collins
Keyword(s):  
Signal Processing ◽  
Field Test ◽  
Statistical Signal Processing ◽  
Robust Detection ◽  
Test Scenarios

FAULT DIAGNOSIS OF MULTITOOTH MACHINE TOOL BASED ON STATISTICAL SIGNAL PROCESSING

2002 ◽  
Vol 35 (1) ◽  
pp. 197-202 ◽  
Author(s):  
Aníbal Reñones Domínguez ◽  
Luis J. De Miguel González
Keyword(s):  
Signal Processing ◽  
Fault Diagnosis ◽  
Machine Tool ◽  
Statistical Signal Processing

scholarly journals Cross-Layer Inference in WSN: From Methods to Experimental Validation

2020 ◽  
Author(s):  
Indrakshi Dey
Keyword(s):  
Mimo System ◽  
Hypothesis Test ◽  
Multiple Antennas ◽  
Statistical Signal Processing ◽  
Decision Fusion ◽  
Inference Problem ◽  
Robust Detection ◽  
Gas Leakage ◽  
Input Multiple Output ◽  
Set Up

In this chapter, the fundamentals of distributed inference problem in wireless sensor networks (WSN) is addressed and the statistical theoretical foundations to several applications is provided. The chapter adopts a statistical signal processing perspective and focusses on distributed version of the binary-hypothesis test for detecting an event as correctly as possible. The fusion center is assumed to be equipped with multiple antennas collecting and processing the information. The inference problem that is solved, primarily concerns the robust detection of a phenomenon of interest (for example, environmental hazard, oil/gas leakage, forest fire). The presence of multiple antennas at both transmit and receive sides resembles a multiple-input-multiple-output (MIMO) system and allows for utilization of array processing techniques providing spectral efficiency, fading mitigation and low energy sensor adoption. The problem is referred to as MIMO decision fusion. Subsequently, both design and evaluation (simulated and experimental) of these fusion approaches is presented for this futuristic WSN set-up.

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