Published in Ansari, A., & Viswanathan, R. (1993). On SNR as a measure of performance for narrowband interference rejection in direct sequence spread spectrum systems. IEEE Global Telecommunications Conference, 1993, including a Communications Theory Mini-Conference. Technical Program Conference Record, IEEE in Houston (GLOBECOM '93), v. 4, 55-59. doi: 10.1109/GLOCOM.1993.318427 ©1993 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.


We simulate a nonlinearized Kalman [5], Kalman and a modified Kalman (linear) filter for suppressing a narrowband Gaussian interference in direct sequence spread spectrum receiver and examine the suitability of Signal-to-Noise Ratio (SNR) of the test statistic as a measure of performance of the receiver. We consider Gaussian autoregressive interference with a peaked spectrum and the three cases: small processing gain (PG) and short pseudonoise (PN) sequence, small PG and long PN sequence, and moderate PG and PN sequence. Based on the simulations, we conclude that for the two cases corresponding to small processing gain, if the thermal noise variance is small and the interference is strong, the Gaussian approximation to the test statistic does not yield the correct BER for any of the receivers. For small PG and short PN sequence, even though the SNR corresponding to nonlinear filter is significantly higher than the SNRs of the two linear filters, the BER of the non-linear is higher than that of the linear receivers. SNR is not a useful measure in these situations.