A model of non-coherent airborne MIMO space-time adaptive processing radar

Yongzhe Li*, Zishu He, Jun Li, Huiyong Li, Hongming Liu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Compared to single-input multiple-output (SIMO) radar, airborne multiple-intput multiple-output (MIMO) space-time adaptive processing (ST AP) radar transmits mutually orthogonal or non-coherent waveforms. The waveform diversity increases degrees of freedom (DOFs) of MIMO ST AP radar and results in the variation of clutter characteristics. To make things worse, there exists many non-ideal factors in practical project that affect performance of MIMO STAP. Considering all such situations, we derive the covariance matrix of echo signals by utilizing waveform covariance matrix (WCM) and error covariance matrix tapering (CMT) to simplify the MIMO STAP in this paper. Signal to interference plus noise ratio (SINR) performance simulation results verify that MIMO STAP radar has a better spatial resolution than SIMO radar generally and improving in orthogonality of transmitting waveforms can obtain a better SINR performance.

Original languageEnglish
Title of host publicationISPACS 2010 - 2010 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event18th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2010 - Chengdu, China
Duration: 6 Dec 20108 Dec 2010

Publication series

NameISPACS 2010 - 2010 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings

Conference

Conference18th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2010
Country/TerritoryChina
CityChengdu
Period6/12/108/12/10

Fingerprint

Dive into the research topics of 'A model of non-coherent airborne MIMO space-time adaptive processing radar'. Together they form a unique fingerprint.

Cite this