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This approach is based upon a minimum mean-square error (MMSE) formulation in which the pulse compression filter for each individual range cell is adaptively estimated from the received signal in order to mitigate the masking interference resulting from matched filtering in the vicinity of large targets.

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PardhuMadipalli/adaptive-pulse-compression-via-mmse-estimation

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Adaptive Pulse Compression via MMSE Estimation IMPLEMENTATION only

Author: Pardhu M

Description

This approach is based upon a minimum mean-square error (MMSE) formulation in which the pulse compression filter for each individual range cell is adaptively estimated from the received signal in order to mitigate the masking interference resulting from matched filtering in the vicinity of large targets.

Code details

All the codes are written in Matlab 2015 version.

Reference Paper

Blunt, Shannon D., and Karl Gerlach. "Adaptive pulse compression via MMSE estimation." IEEE Transactions on Aerospace and Electronic Systems 42.2 (2006): 572-584.

Disclaimer

The metioned author does not hold any copyright to the mentioned paper.

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This approach is based upon a minimum mean-square error (MMSE) formulation in which the pulse compression filter for each individual range cell is adaptively estimated from the received signal in order to mitigate the masking interference resulting from matched filtering in the vicinity of large targets.

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