The interference can be whitened by Gram-Schmidt orthogonalization algorithm and the target echo detection can be realized by normalized matched filter.

In this paper,an algorithm of normalized parametric adaptive matched filter based on time-varying autoregressive model is introduced.

An approach to measure the scaling factor of matched filter by using rectangle aperture s Fourier frequency spectrum;

Effect of reference target location in matched filter on correlation peak location;

Composite matched filter design researching based on UNPOF and ECPSDF;

Only phase information self focusing matching filter by computer generated hologram;

In the continuous tracking, using the correlative re-conformation of matching filter, with the subdivision of frequency or phase, a multi-frame processing arithmetic for anti-jamming was put forward.

Computer simulation and experimental results show that matching filter using extracted feature to code can recognize two images of common feature.

The paper provided a way to make the optimization match filter by computer could simplify the experiment scheme and meet the need of real-time recognition.

This paper presents a novel long-period PN-code fast acquisition scheme which is based on "match filter + sequence estimation"approach.

A modified match filter was used to increase the signal-noise ratio(SNR) of 3-20dB.