CFP last date
20 May 2024
Reseach Article

Modelling of LFM Spectrum as Rectangle using Steepest Descent Method

by A. Naga Jyothi, K. Raja Rajeswari
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 16
Year of Publication: 2013
Authors: A. Naga Jyothi, K. Raja Rajeswari
10.5120/12045-8082

A. Naga Jyothi, K. Raja Rajeswari . Modelling of LFM Spectrum as Rectangle using Steepest Descent Method. International Journal of Computer Applications. 69, 16 ( May 2013), 13-17. DOI=10.5120/12045-8082

@article{ 10.5120/12045-8082,
author = { A. Naga Jyothi, K. Raja Rajeswari },
title = { Modelling of LFM Spectrum as Rectangle using Steepest Descent Method },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 16 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 13-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number16/12045-8082/ },
doi = { 10.5120/12045-8082 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:30:49.677118+05:30
%A A. Naga Jyothi
%A K. Raja Rajeswari
%T Modelling of LFM Spectrum as Rectangle using Steepest Descent Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 16
%P 13-17
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The chirp or LFM waveform has superior performance in radars since they can be easily processed and generated. The amount of compression in pulse compression radar is determined by time-bandwidth product. The LFM waveform exhibits very high time-bandwidth product. The transform of this LFM waveform is flat over its range of frequencies. The signal spectrum will become fairly rectangular if time-bandwidth product is increased. The bigger the time-bandwidth product the higher is the robustness of radar transmitter. The focus of this paper is on steepest descent method which when applied to the LFM wave form gets the signal spectrum as a rectangle i. e totally flat over its range of frequencies. By using this method a ideal rectangle spectrum is achieved, which utilizes the total pulse and offers an optimal spectral density. This steepest descent approximated LFM waveform offer high resolution on the time axis and is therefore best suited for ranging.

References
  1. Levanon. N, mozeson Radar Signal, 2004.
  2. Levanon. N, Radar Prirzciples Wiley, New York, 1988.
  3. Bassem r. Mahafza, Radar systems analysis and design using Matlab, Chapman & Hall,CRC, 2000.
  4. M. A. Richards, Fundamentals of Radar Signal Processing, McGraw-Hill, 2005.
  5. Skolnik. M, Radar Handbook, 3rd. ed. , McGraw-Hill, New York, 2005.
  6. Y. K. Chan, M. Y. Chua, and V. C. Koo, Sidelobes Reduction Using Simple Two and Tri-Stages Non Linear Frequency Modulation (NLFM), Progress In Electromagnetics Research, PIER98,2009.
  7. David Brandwood, Fourier Transforms in Radar and Signal Processing, Artech House,Boston , London,2003
  8. M. Born, E. Wolf, Principles of Optics,1983.
  9. Uttam K. Majumder, Linear Frequency Modulation Pulse Compression Technique on Generic Signal Model
Index Terms

Computer Science
Information Sciences

Keywords

Linear Frequency Modulation(LFM) Time-bandwidth product(BT) Steepest descent method Spectral amplitude Fourier Transform Over sampling factor(k) .