On the method of maximum entropy spectrum estimation (Corresp.)

Arcese, A.

doi:10.1109/tit.1983.1056605

Cited by 6 publications

(1 citation statement)

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“…In fact, it is not possible to meet sensing requirements with a single energy detector under noise uncertainty, even if the sensing is done for a long time [18][19][20]. Another popular method is to estimate the spectral density of the received signal using the maximum entropy principle [21][22][23][24][25]. While this principle is analytically appealing, it appears to have limited application to the current problem due to the lack of proper models that accurately describe the uncertainties in the WM signals.…”

Section: Introductionmentioning

confidence: 99%

A sub-space method to detect multiple wireless microphone signals in TV band white space

Dhillon

Jeong

Datla

et al. 2011

Analog Integr Circ Sig Process

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The main hurdle in the realization of dynamic spectrum access systems from the physical layer perspective is the reliable sensing of low power licensed users. One such scenario shows up in the unlicensed use of the TV bands where the TV band devices are required to sense extremely low power wireless microphones (WMs). The lack of technical standards among various wireless manufacturers and the resemblance of certain WM signals to narrow-band interference signals, such as spurious emissions, further aggravate the problem. Due to these uncertainties, it is extremely difficult to abstract the features of WM signals and hence develop robust sensing algorithms. To partly counter these challenges, we develop a two-stage sub-space algorithm that detects multiple narrow-band analog frequency-modulated signals generated by WMs.The performance of the algorithm is verified by using the real WM signals experimentally captured under low SNR conditions. The problem of differentiating between the WM and other narrow-band signals is left as future work.

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