An Improved Parameter Estimation Algorithm Based on FFT for LFM Signal

Rong Zhou; Ai Jun Liu; Xiao Fei Pan; Chao Gong

doi:10.4028/www.scientific.net/AMM.519-520.1000

Paper Titles

Shorten LDPC Codes with Better Performance
p.983

Peak-to-Average Power Ratio Distribution of OFDM Visible Light Communication Systems
p.987

Dynamic-Dual-Threshold Cooperative Spectrum Sensing Algorithm Based on D-S Evidence Theory
p.991

FPGA-Based Improved Decoding Algorithm of LDPC Codes
p.995

An Improved Parameter Estimation Algorithm Based on FFT for LFM Signal
p.1000

Payload-Distributed GEO Communication Satellite System and Opportunistic Network Coding Based Cooperative Information Exchange
p.1005

FrFT Angle Division Multiple Access with Optimal Time-Frequency-Angle Resource Distribution
p.1012

Efficient LLR Optimization Based on GMI for LDPC Coded BICM Systems
p.1016

A Novel Approach for PAPR Reduction of NC-OFDM System
p.1021

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 519-520An Improved Parameter Estimation Algorithm Based...

An Improved Parameter Estimation Algorithm Based on FFT for LFM Signal

Abstract:

Parameter estimation is essential to receive a linear frequency modulation (LFM) signal precisely, so in this paper an improved parameter estimation algorithm based on FFT is proposed. Compared to the traditional one-dimension search procedure, the algorithm just needs two FFT steps plus one correlation step only. Without searching process and low computational complexity, the algorithm is easy for project application. The simulations verify feasibility of the algorithm, when SNR is above-3 dB, the algorithm can work well.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 519-520)

Pages:

1000-1004

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.519-520.1000

Citation:

Cite this paper

Online since:

February 2014

Authors:

Rong Zhou, Ai Jun Liu, Xiao Fei Pan, Chao Gong

Keywords:

FFT, Linear Frequency Modulation Signal, Parameter Estimation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Han Mengfei, A Fast Algorithm on Parameter Estimation of LFM Signals Under Low SNR. Transactions of Beijing Institute of Technology. 2009, 29(2): 147~151. (in Chinese).

Google Scholar

[2] Abatzoglou T J Fast maximum likelihood joint estimation of frequency and frequency rate. IEEE trans AES. 1986. 22(6): 708~715.

DOI: 10.1109/taes.1986.310805

Google Scholar

[3] Qi L, Tao R, Zhou S Y．Detection and parameter estimation of multi-component LFM signal based on the fractional Fourier transform[J]. Science in China, Series F, 2004, 47(2): 184~198.

DOI: 10.1360/02yf0456

Google Scholar

[4] Liu F, Huang Y, Tao R．Chirp-rate resolution of fractional Fourier transform in multi-component LFM signal[J]．Journal of Beijing Institute of Technology, 2009, 18(1): 74~78.

Google Scholar

[5] Peleg S. Porat B. Linear FM signal parameter estimation from discrete-time observations. IEEE Trans AES. 1991. 27(4): 607~615.

DOI: 10.1109/7.85033

Google Scholar

[6] Liu Yu. Fast Dechirp Algorithm. Journal of Data Acquisition & Processing. 1999. 14(2): 175~178.

Google Scholar

[7] Gong Chao, Zhang Bangning. A Quick and Accurate Union Carrier Parameter Estimation Algorithm Based on FFT. ACTA ELECTRONIC SINICA, 2010, 38(4): 766~770. (in Chinese).

Google Scholar

[8] Aldo N D'Andrea, U Mengli, R Reggiannini．The modified Cramer-Rao bound and its application to synchronization problems[J]. IEEE Tram Commum 1994, 42(2): 1391~1399.

DOI: 10.1109/tcomm.1994.580247

Google Scholar