Model Order Selection for Multipath Mimo Channels Using the Benjamini-hochberg Procedure
نویسندگان
چکیده
We solve the model order selection problem for a multipleinput multiple-output (MIMO) channel in analogy to the detection problem for multiple signals embedded in noisy observations. Our approach uses a multiple hypothesis test based on log-likelihood ratios. This multiple test detects the number of propagation paths in a multipath channel iteratively. To control the global level of the multiple test, we apply the false discovery rate (FDR) criterion proposed by Benjamini and Hochberg. The power of this multiple test has been investigated through narrowand broadband simulations in previous studies. We apply the multiple hypothesis test to real MIMO antenna array measurements. MIMO measurement data were recorded with the RUSK-ATM vector channel sounder. The sounder operated at a center frequency of 2000 MHz with an output power of 2 W and a transmitted signal bandwidth of 120 MHz. Maximum-likelihood estimates for direction of arrival are obtained for all model orders p = 0, 1, . . . , Pmax. Finally, the Benjamini-Hochberg procedure is invoked to select the model order∈ {0, 1, . . . , Pmax} for a given FDR level q.
منابع مشابه
Single-Carrier Frequency-Domain Equalization for Orthogonal STBC over Frequency-Selective MIMO-PLC channels
In this paper we propose a new space diversity scheme for broadband PLC systems using orthogonal space-time block coding (OSTBC) transmission combined with single-carrier frequency-domain equalization (SC-FDE). To apply this diversity technique to PLC channels, we first propose a new technique for combining SC-FDE with OSTBCs applicable to all dispersive multipath channels impaired by impulsive...
متن کاملEnergy Detection of Unknown Signals over Composite multipath/shadowing Fading Channels
In this paper, the performance analysis of an energy detector is exploited over composite multipath/shadowing fading channels, which is modeled by Rayleigh-lognormal (RL) distribution. Based on an approximate channel model which was recently proposed by the author, the RL envelope probability density function (pdf) is approximated by a finite sum of weighted Rayleigh pdfs. Relying on this inter...
متن کاملControlling the Number of False Positives Using the Benjamini- Hochberg FDR Procedure Paul N. Somerville University of Central Florida Controlling the Number of False Positives Using the Benjamini- Hochberg FDR Procedure
متن کامل
On Signal Detection Using the Benjamini-hochberg Procedure
We investigate a multiple hypothesis test designed for detecting signals embedded in noisy observations of a sensor array. The global level of the multiple test is controlled by the false discovery rate (FDR) criterion recently suggested by Benjamini and Hochberg instead of the classical familywise error rate (FWE) criterion. In the previous study [3], the suggested procedure has shown promisin...
متن کاملTwo-stage stepup procedures controlling FDR
A two-stage stepup procedure is defined and an explicit formula for the FDR of this procedure is derived under any distributional setting. Sets of critical values are determined that provide a control of the FDR of a two-stage stepup procedure under iid mixture model. A class of two-stage FDR procedures modifying the Benjamini–Hochberg (BH) procedure and containing the one given in Storey et al...
متن کامل