Noise-robust modulation identification method for adaptive receiver based on software defined radio

Goo Rak Kwon; June Sok Lee; Jae Do Jin; Sung Jea Ko

doi:10.1109/TCE.2007.4341606

Noise-robust modulation identification method for adaptive receiver based on software defined radio

Goo Rak Kwon, June Sok Lee, Jae Do Jin, Sung Jea Ko

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

In this paper, we propose an effective noiserobust modulation identification algorithm for adaptive receiver based on software defined radio. The proposed method can estimate the carrier frequency, symbol rate, and modulation scheme of the received signal without the use of the handshaking process requiring supplementary information such as the training sequence. Experimental results show that the proposed algorithm demodulates the signal with a low probability of error at the noisy channel conditions.

Original language	English
Pages (from-to)	1211-1216
Number of pages	6
Journal	IEEE Transactions on Consumer Electronics
Volume	53
Issue number	3
DOIs	https://doi.org/10.1109/TCE.2007.4341606
Publication status	Published - 2007 Aug

Bibliographical note

Funding Information:
1This research was supported by Seoul Future Contents Convergence (SFCC) Cluster established by Seoul Industry-Academy-Research Cooperation Project.

Keywords

LPC method
Modulation Classification & identification
Wavelet transform

ASJC Scopus subject areas

Media Technology
Electrical and Electronic Engineering

Access to Document

10.1109/TCE.2007.4341606

Cite this

@article{1621f89f9b1746559f368cd210ad1d4a,

title = "Noise-robust modulation identification method for adaptive receiver based on software defined radio",

abstract = "In this paper, we propose an effective noiserobust modulation identification algorithm for adaptive receiver based on software defined radio. The proposed method can estimate the carrier frequency, symbol rate, and modulation scheme of the received signal without the use of the handshaking process requiring supplementary information such as the training sequence. Experimental results show that the proposed algorithm demodulates the signal with a low probability of error at the noisy channel conditions.",

keywords = "LPC method, Modulation Classification & identification, Wavelet transform",

author = "Kwon, {Goo Rak} and Lee, {June Sok} and Jin, {Jae Do} and Ko, {Sung Jea}",

note = "Funding Information: 1This research was supported by Seoul Future Contents Convergence (SFCC) Cluster established by Seoul Industry-Academy-Research Cooperation Project.",

year = "2007",

month = aug,

doi = "10.1109/TCE.2007.4341606",

language = "English",

volume = "53",

pages = "1211--1216",

journal = "IEEE Transactions on Consumer Electronics",

issn = "0098-3063",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "3",

}

TY - JOUR

T1 - Noise-robust modulation identification method for adaptive receiver based on software defined radio

AU - Kwon, Goo Rak

AU - Lee, June Sok

AU - Jin, Jae Do

AU - Ko, Sung Jea

N1 - Funding Information: 1This research was supported by Seoul Future Contents Convergence (SFCC) Cluster established by Seoul Industry-Academy-Research Cooperation Project.

PY - 2007/8

Y1 - 2007/8

N2 - In this paper, we propose an effective noiserobust modulation identification algorithm for adaptive receiver based on software defined radio. The proposed method can estimate the carrier frequency, symbol rate, and modulation scheme of the received signal without the use of the handshaking process requiring supplementary information such as the training sequence. Experimental results show that the proposed algorithm demodulates the signal with a low probability of error at the noisy channel conditions.

AB - In this paper, we propose an effective noiserobust modulation identification algorithm for adaptive receiver based on software defined radio. The proposed method can estimate the carrier frequency, symbol rate, and modulation scheme of the received signal without the use of the handshaking process requiring supplementary information such as the training sequence. Experimental results show that the proposed algorithm demodulates the signal with a low probability of error at the noisy channel conditions.

KW - LPC method

KW - Modulation Classification & identification

KW - Wavelet transform

UR - http://www.scopus.com/inward/record.url?scp=35348849004&partnerID=8YFLogxK

U2 - 10.1109/TCE.2007.4341606

DO - 10.1109/TCE.2007.4341606

M3 - Article

AN - SCOPUS:35348849004

SN - 0098-3063

VL - 53

SP - 1211

EP - 1216

JO - IEEE Transactions on Consumer Electronics

JF - IEEE Transactions on Consumer Electronics

IS - 3

ER -

Noise-robust modulation identification method for adaptive receiver based on software defined radio

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this