A concept of multi-complex matched filter is introduced to improve the recognition of optical correlation image and the resistance of distortion,and a new way for the recognition is discussed.

According to performance analysis of unconstrained phase-only matched filtering function and ECPSDF algorithm,their composite matched filter algorithm is obtained.

To make good use of advantage of SWDS and heighten the efficiency, using the single trace seismic data from SWDS and common coupling receivers on equal conditions, we designed a coupling match filter by the method of Optimum Wiener Filters.

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.