Minimax sidelobe reduction filtering for Huffman sequence autocorrelation function type signals

A solution is presented for the impulse response of an FIR sidelobe reduction filter, intended for signals consisting of a main lobe and two symmetrically spaced side-lobes, i.e. for signals of the Huffman sequence autocorrelation function type. The filter minimizes the output main-lobe level subjec...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on circuits and systems Vol. 35; no. 8; pp. 1014 - 1019
Main Authors Dyka, A., Ugoski, H.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.08.1988
Institute of Electrical and Electronics Engineers
Subjects
Applied sciences
Autocorrelation
Control systems
Controllability
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Filtering
Finite impulse response filter
Image reconstruction
Information, signal and communications theory
Minimax techniques
Observability
Signal and communications theory
Signal, noise
State-space methods
System testing
Telecommunications and information theory
Autocorrelation function
Lateral lobe
Filtering
Signal processing
Finite impulse response filter
Tchebychev polynomial
Optimization
Online AccessGet full text

Cover

More Information
Summary:A solution is presented for the impulse response of an FIR sidelobe reduction filter, intended for signals consisting of a main lobe and two symmetrically spaced side-lobes, i.e. for signals of the Huffman sequence autocorrelation function type. The filter minimizes the output main-lobe level subject to a constraint on the maximum sidelobe level. It is shown that for those input signals with sidelobe levels that do not exceed half of the main-lobe level, the filter required can be represented uniquely as a parallel combination of zero-forcing filters. The tradeoff between the reduction of sidelobe level and the degradation of signal-to-noise ratio is examined.< >
ISSN:0098-4094
DOI:10.1109/31.1848