Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. For technical support, please contact us at We apologize for any inconvenience.
By Topic

Non-coherent detection of weak M-ary chirp signals in non-Gaussian impulsive noise

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Kadri, A. ; QU Wireless Innovations Center, Doha, Qatar

This paper addresses non-coherent detection and performance of weak M-ary chirp spread-spectrum (MCSS) signals in non-Gaussian impulsive noise. The structure of the locally optimum Bayes detector (LOBD) is derived and consists of a zero-memory nonlinearity (ZMNL), a function of first-order noise density, followed by the non-coherent Gaussian envelope detector for MCSS signals. The performance of this receiver has been evaluated and closed-form expressions for symbol error rate (SER) and bit error rate (BER) have been derived. It has been shown that the SER and BER performances are functions of the signal-to-noise ratio (SNR), the sample size per symbol interval, the input data size, and the modulation parameters of MCSS signals. A comparison between the coherent and non-coherent detection for weak MCSS signals is also given.

Published in:

Wireless Communications and Mobile Computing Conference (IWCMC), 2012 8th International

Date of Conference:

27-31 Aug. 2012