IMS Signal Processing

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Authors
  1. Goubran, R. A.
  2. Hafez, H. M.
Corporate Authors
Canadian Police Research Centre, Ottawa Ont (CAN);Carleton Univ, Ottawa ONT (CAN)
Abstract
This report addresses the detection of Cyclotrimethylenetrinitramine (RDX) using Ion Mobility Spectrometry (IMS). It evaluates a number of post ionization Digital Signal Processing (DSP) techniques for improving the selectivity and detection limit in IMS. The evaluation is based on experimental IMS data as well as simulated IMS peaks. The experimental data, provided by the National Research Council of Canada, represents leather samples, RDX samples, and leather combined with various amounts of RDX. The simulated peaks were generated using the programs developed under contracts. These programs generate IMS-like peaks with any desired amplitude, standard deviation, peak separation, and signal to noise ration (SNR). This way, the limitations of any peak detection algorithm in terms of sensitivity and selectivity can be determined very precisely. The results indicate that derivative methods provide the best selectivity, with minimum detectable peak separations of 0.20 msec. However, their susceptibility to noise results in poor sensitivity. Cross-correlation methods provide the best sensitivity, or detection limit, with minimum detectable RDX quantities of 0.01 nanogram. Despite their good detection limit, correlation methods suffer from a poor selectivity due to their smoothing effect. A multiresolution algorithm combining derivative methods with correlation methods, and providing the advantages of both, was developed under this contract and is described in this report. In the p
Keywords
Ion mobility spectroscopy;Neural networks (Neurobiology)
Report Number
QD96.1;TR-08-1993E;TR-08-93 — Technical report
Date of publication
01 Oct 1993
Number of Pages
74
DSTKIM No
CA031275
CANDIS No
530022
Format(s):
Electronic Document(PDF)

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