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We investigate the detection of broadband weak transient signals by monitoring a projection of the measurement data onto the noise-only subspace derived from the stationary sources. This projection utilises a broadband subspace decomposition of the data's space-time covariance matrix. The energy in this projected 'syndrome' vector is more discriminative towards the presence or absence of a transient signal than the original data, and can be enhanced by temporal averaging. We investigate the statistics, and indicate in simulations how discrimination can be traded off with the time to reach a decision, as well as with the sample size over which the space-time covariance is estimated.
|Title of host publication||2021 Sensor Signal Processing for Defence Conference (SSPD)|
|Place of Publication||Piscataway, NJ.|
|Number of pages||5|
|Publication status||Published - 15 Sep 2021|
|Event||International Conference in Sensor Signal Processing for Defence: from Sensor to Decision - Edinburgh, United Kingdom|
Duration: 14 Sep 2021 → 15 Sep 2021
Conference number: 10
|Conference||International Conference in Sensor Signal Processing for Defence|
|Period||14/09/21 → 15/09/21|
- weak transient signals
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