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http://hdl.handle.net/11375/19624
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DC Field | Value | Language |
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dc.contributor.advisor | Sinha, N. K. | - |
dc.contributor.author | Mark, Jon Wei | - |
dc.date.accessioned | 2016-06-23T12:37:00Z | - |
dc.date.available | 2016-06-23T12:37:00Z | - |
dc.date.issued | 1968-03 | - |
dc.identifier.uri | http://hdl.handle.net/11375/19624 | - |
dc.description.abstract | <p> A self-synchronized echo ranging system with optimum utilization of signal estimation and detection strategies has been designed and simulated. A binary convolution code has been utilized to modulate the transmitter signal. The random medium is modelled by a vector sum of a fixed and a random component; the medium fading process has a Rician distribution density. A channel estimator has been derived using a maximum a posteriori probability criterion. The estimator is an adaptive processor whereby the variance of the medium fading process is recomputed during each updating cycle. The estimator attempts to provide a coherent input to the correlator. An optimum processor for the signalling described is an ordered serial estimator-correlator combination. It is conjectured that the estimator offers an improvement in signal processing gain of approximately 5 dB over and above the non-optimized system. Accompanying this is an improvement in peak-to -sidelobe ratio and in false alarm probability. A 3 bit (8 level) quantized system is conjectured to be a 'good' trade-off between degradation in system performance and simplification in system implementation.</p> | en_US |
dc.language.iso | en_US | en_US |
dc.subject | optimal, detection, estimation, echo, fading, environment, a posteriori, binary | en_US |
dc.title | Optimal Detection and Estimation for Echo Ranging in a Randomly Fading Environment | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Electrical Engineering | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Master of Engineering (MEngr) | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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Mark_Jon_W._1968Mar_Masters..pdf | 4.51 MB | Adobe PDF | View/Open |
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