On the capacity of the AWGN channel with additive radar interference

This paper investigates the capacity of a communications channel that, in addition to additive white Gaussian noise, also suffers the interference from a co-existing radar transmission. The radar interference (of short duty-cycle and of much wider bandwidth than the intended communication signal) is modeled as an additive term whose amplitude is known and constant, but whose phase is independent and identically uniformly distributed at each channel use. The capacity achieving input distribution, under the standard average power constraint, is shown to have independent modulo and phase. The phase is uniformly distributed in [0, 2π]. The modulo is discrete with countably infinite many mass points, but only finitely many in any bounded interval. From numerical evaluations, a proper-complex Gaussian input is seen to perform quite well for weak radar interference. Interestingly, for very large radar interference, a Gaussian input achieves 1/2 log (1 + S). Since a Gaussian input is optimal to within one bit, it is concluded that the presence of the radar interference results in a loss of half degrees of freedom compared to an interference free channel.

[1]  Amos Lapidoth On phase noise channels at high SNR , 2002, Proceedings of the IEEE Information Theory Workshop.

[2]  Daniela Tuninetti,et al.  On the Capacity of the AWGN Channel With Additive Radar Interference , 2018, IEEE Transactions on Communications.

[3]  Holger Boche,et al.  On the boundedness of the support of optimal input measures for Rayleigh fading channels , 2008, 2008 IEEE International Symposium on Information Theory.

[4]  Joel G. Smith,et al.  The Information Capacity of Amplitude- and Variance-Constrained Scalar Gaussian Channels , 1971, Inf. Control..

[5]  Ibrahim C. Abou-Faycal,et al.  The capacity of average power constrained additive non-Gaussian noise channels , 2012, 2012 19th International Conference on Telecommunications (ICT).

[6]  Tho Le-Ngoc,et al.  Capacity-Achieving Input Distributions of Additive Quadrature Gaussian Mixture Noise Channels , 2015, IEEE Transactions on Communications.

[7]  Thorsten Gerber,et al.  Handbook Of Mathematical Functions , 2016 .

[8]  Kerstin Vogler,et al.  Table Of Integrals Series And Products , 2016 .

[9]  D. Luenberger Optimization by Vector Space Methods , 1968 .

[10]  Shlomo Shamai,et al.  The capacity of average and peak-power-limited quadrature Gaussian channels , 1995, IEEE Trans. Inf. Theory.

[11]  Daniela Tuninetti,et al.  Modeling the interference of pulsed radar signals in OFDM-based communications systems , 2017, 2017 IEEE Radar Conference (RadarConf).

[12]  Daniela Tuninetti,et al.  Let's share CommRad: Effect of radar interference on an uncoded data communication system , 2016, 2016 IEEE Radar Conference (RadarConf).

[13]  Irene A. Stegun,et al.  Handbook of Mathematical Functions. , 1966 .

[14]  Ibrahim C. Abou-Faycal,et al.  The capacity of discrete-time memoryless Rayleigh-fading channels , 2001, IEEE Trans. Inf. Theory.

[15]  S. Resnick A Probability Path , 1999 .

[16]  H. Vincent Poor,et al.  The Capacity of the Noncoherent Rician Fading Channel∗ , 2004 .

[17]  Daniela Tuninetti,et al.  On the Error Rate of a Communication System Suffering from Additive Radar Interference , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[18]  Shlomo Shamai,et al.  On the capacity-achieving distribution of the discrete-time noncoherent and partially coherent AWGN channels , 2004, IEEE Transactions on Information Theory.

[19]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[20]  Tho Le-Ngoc,et al.  Approximation of Achievable Rates in Additive Gaussian Mixture Noise Channels , 2016, IEEE Transactions on Communications.

[21]  Aslan Tchamkerten,et al.  On the discreteness of capacity-achieving distributions , 2004, IEEE Transactions on Information Theory.

[22]  L. Debnath,et al.  Integral Transforms and Their Applications, Second Edition , 2006 .

[23]  Ronald F. Boisvert,et al.  NIST Handbook of Mathematical Functions , 2010 .

[24]  Uri Erez,et al.  A Gaussian input is not too bad , 2004, IEEE Transactions on Information Theory.

[25]  Shunsuke Ihara,et al.  On the Capacity of Channels with Additive Non-Gaussian Noise , 1978, Inf. Control..

[26]  Hui Li,et al.  Capacity of Gaussian Channels With Duty Cycle and Power Constraints , 2014, IEEE Trans. Inf. Theory.

[27]  Sean P. Meyn,et al.  Characterization and computation of optimal distributions for channel coding , 2005, IEEE Transactions on Information Theory.