2012 IEEE Radar Conference 2012
DOI: 10.1109/radar.2012.6212267
|View full text |Cite
|
Sign up to set email alerts
|

Beamspace approach for detection of the number of coherent sources

Abstract: A beamspace approach is presented to detect the multiplicity of impinging sources on the sensor array for the direction of arrival estimation problem. The method applies to the coherent signals and can also be used to detect the presence of interfering multipath signal. In many applications, the signal to noise ratio is not sufficient to resolve multiple sources with close spatial frequencies. The suggested method is to detect the presence of an interfering secondary source which can not be possibly resolved.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2014
2014
2014
2014

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 8 publications
0
2
0
Order By: Relevance
“…For some methods, estimation of frequency is the precondition for estimating the other parameters of sinusoid signals [1] as well as frequency estimation of modulated signals [2,3]. Many algorithms have been proposed for estimation of frequency from received signals [4][5][6][7][8][9][10][11][12]. Performance evaluation of frequency estimation algorithms is also a key operation in practical signal processing systems and can be considered from two points of view.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…For some methods, estimation of frequency is the precondition for estimating the other parameters of sinusoid signals [1] as well as frequency estimation of modulated signals [2,3]. Many algorithms have been proposed for estimation of frequency from received signals [4][5][6][7][8][9][10][11][12]. Performance evaluation of frequency estimation algorithms is also a key operation in practical signal processing systems and can be considered from two points of view.…”
Section: Introductionmentioning
confidence: 99%
“…As IEEE 1990.6 for cognitive radio (CR) [15] expressed, the modulation recognition confidence rating is regarded as additional output information in some civilian signal processing devices; an example is Agilent's option MR1 for E3238S signal detection and monitoring systems. Nevertheless, the detailed method of evaluating the reliability of modulation recognition is not described in both [10,11]. Fehske et al [16] defined the half value of the maximum and the second maximum output of the back propagation-(BP-) based classifier as the confidence metric of modulation classifying results for CR.…”
Section: Introductionmentioning
confidence: 99%