Dynamic range determination of the detectable parameters for polynomial phase signals using multiple lag diversities in high-order ambiguity functions

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)

Abstract

Two lag diversities in the high-order ambiguity functions for single component polynomial phase signals (PPS) was recently explored by Zhou and Wang. The lag diversity enlarges the dynamic range of the detectable parameters for PPS. In this paper, we prove that the dynamic range obtained by Zhou and Wang is already the maximal one for the detectable parameters for single component PPS. The dynamic range for the detectable parameters for multi-component PPS is given when multiple lag diversities are used. We show that the maximal dynamic range is reached when the number of the lags in the HAF is at least twice of the number of the single components in a multi-component PPS. More lags than twice of the number of the single components does not increase the dynamic range.

Original languageEnglish
Pages177-180
Number of pages4
Publication statusPublished - 1998
Externally publishedYes
EventProceedings of the 1998 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis - Pittsburgh, PA, USA
Duration: 6 Oct 19989 Oct 1998

Conference

ConferenceProceedings of the 1998 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis
CityPittsburgh, PA, USA
Period6/10/989/10/98

Fingerprint

Dive into the research topics of 'Dynamic range determination of the detectable parameters for polynomial phase signals using multiple lag diversities in high-order ambiguity functions'. Together they form a unique fingerprint.

Cite this