Detection of the number of signals by a threshold based on peak-to-average ratio

Author

Jing, Wang ; Jianguo, Huang ; Chengbing, He ; Hai, Huang ; Huihui, Wang

Author_Institution

Coll. of Marine Eng., Northwestern Polytech. Univ., Xi´´an, China

fYear

2011

fDate

14-16 Sept. 2011

Firstpage

1

Lastpage

4

Abstract

Source number is a crucial factor in array signal processing. A new method is present here to estimate the source number. The array output data is firstly weighted by the eigenvectors of the covariance matrix, and then the peak-to-average power ratio (PAR) of the weighted data is computed. The inherent properties of the PAR are exploited. A new multiple targets detection threshold criterion: peak-to-average power ratio threshold criterion (PARTC) is established by concerning the inherent properties of the PAR. Simulation results show that PARTC method performs better than AIC and MDL under all conditions.

Keywords

array signal processing; covariance matrices; eigenvalues and eigenfunctions; AIC; MDL; array signal processing; covariance matrix; eigenvectors; peak-to-average power ratio threshold criterion; peak-to-average ratio; signals detection; Arrays; Covariance matrix; Eigenvalues and eigenfunctions; Peak to average power ratio; Signal to noise ratio; Simulation; detection; multiple targets; peak-to-average power ratio (PAR); threshold criterion;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4577-0893-0

Type

conf

DOI

10.1109/ICSPCC.2011.6061581

Filename

6061581