On the Effectiveness of Multiple Antennas in Distributed Detection over Fading MACs

A distributed detection problem over fading Gaussian multiple-access channels is considered. Sensors observe a phenomenon and transmit their observations to a fusion center using the amplify and forward scheme. The fusion center has multiple antennas with different channel models considered between the sensors and the fusion center, and different cases of channel state information are assumed at the sensors. The performance is evaluated in terms of the error exponent for each of these cases, where the effect of multiple antennas at the fusion center is studied. When there is channel information at the sensors, the gain in error exponent due to having multiple antennas at the fusion center is shown to be limited to a factor of 8/π for Rayleigh fading channels between the sensors and the fusion center, and independent of the number of antennas at the fusion center. Simple practical schemes and numerical methods using semidefinite relaxation techniques are presented that utilize the limited possible gains available. Simulations are used to establish the accuracy of the results.

[1]  Robert H. Halstead,et al.  Matrix Computations , 2011, Encyclopedia of Parallel Computing.

[2]  Golub Gene H. Et.Al Matrix Computations, 3rd Edition , 2007 .

[3]  Thakshila Wimalajeewa,et al.  Optimal Power Scheduling for Correlated Data Fusion in Wireless Sensor Networks via Constrained PSO , 2008, IEEE Transactions on Wireless Communications.

[4]  Bruce W. Suter,et al.  Robust Binary Quantizers for Distributed Detection , 2007, IEEE Transactions on Wireless Communications.

[5]  B. Picinbono On deflection as a performance criterion in detection , 1995 .

[6]  Andreas Spanias,et al.  Estimation Over Fading Channels With Limited Feedback Using Distributed Sensing , 2010, IEEE Transactions on Signal Processing.

[7]  Nirwan Ansari,et al.  Distributed detection for cellular CDMA , 1996 .

[8]  Robert Schober,et al.  Nonorthogonal Transmission and Noncoherent Fusion of Censored Decisions , 2009, IEEE Transactions on Vehicular Technology.

[9]  Pramod K. Varshney,et al.  Distributed detection with multiple sensors I. Fundamentals , 1997, Proc. IEEE.

[10]  Boaz Porat,et al.  Digital Processing of Random Signals: Theory and Methods , 2008 .

[11]  Gene H. Golub,et al.  Matrix computations (3rd ed.) , 1996 .

[12]  H. Vincent Poor,et al.  Optimal Power Allocation for Distributed Detection Over MIMO Channels in Wireless Sensor Networks , 2007, IEEE Transactions on Signal Processing.

[13]  Behrouz Maham,et al.  Distributed GABBA space-time codes in amplify-and-forward relay networks , 2009, IEEE Transactions on Wireless Communications.

[14]  Rick S. Blum,et al.  Distributed detection with multiple sensors I. Advanced topics , 1997, Proc. IEEE.

[15]  Zhi-Quan Luo,et al.  Semidefinite Relaxation of Quadratic Optimization Problems , 2010, IEEE Signal Processing Magazine.

[16]  Pramod K. Varshney,et al.  Detection Performance Limits for Distributed Sensor Networks in the Presence of Nonideal Channels , 2006, IEEE Transactions on Wireless Communications.

[17]  Dyi-Rong Duh,et al.  Fault-tolerant decision fusion via collaborative sensor fault detection in wireless sensor networks , 2008, IEEE Transactions on Wireless Communications.

[18]  Shuguang Cui,et al.  Linear Coherent Decentralized Estimation , 2008, IEEE Trans. Signal Process..

[19]  Shengli Zhou,et al.  PAC vs. MAC for Decentralized Detection Using Noncoherent Modulation , 2009, IEEE Transactions on Signal Processing.

[20]  Wen J. Li,et al.  Distributed Detection in Wireless Sensor Networks Using A Multiple Access Channel , 2007, IEEE Transactions on Signal Processing.

[21]  D K Smith,et al.  Numerical Optimization , 2001, J. Oper. Res. Soc..

[22]  S. Kassam Signal Detection in Non-Gaussian Noise , 1987 .

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

[24]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[25]  Anthony Man-Cho So,et al.  On approximating complex quadratic optimization problems via semidefinite programming relaxations , 2005, IPCO.

[26]  Ke Liu,et al.  Type-Based Decentralized Detection in Wireless Sensor Networks , 2007, IEEE Transactions on Signal Processing.

[27]  Cihan Tepedelenlioglu,et al.  Distributed Detection in UWB Wireless Sensor Networks , 2008, IEEE Transactions on Signal Processing.

[28]  Jamie S. Evans,et al.  Distributed Decoding in a Cellular Multiple-Access Channel , 2004, IEEE Transactions on Wireless Communications.

[29]  Zhi-Quan Luo,et al.  Universal decentralized detection in a bandwidth-constrained sensor network , 2005, IEEE Trans. Signal Process..

[30]  Venugopal V. Veeravalli,et al.  Asymptotic results for decentralized detection in power constrained wireless sensor networks , 2004, IEEE Journal on Selected Areas in Communications.