WiMAX Signal Detection Algorithm Based on Preamble-Induced Second-Order Cyclostationarity

Abstract

In this paper we present a new algorithm for detecting mobile Worldwide Interoperability for Microwave Access (WiMAX) signals in cognitive radio systems, which is based on preamble-induced second-order cyclostationarity. We derive closed form expressions for the cyclic autocorrelation function (CAF) and cyclic frequencies (CFs) due to the preamble, and use these results in the proposed algorithm for signal detection. The algorithm is illustrated with numerical results obtained from simulations, which demonstrate its efficiency under diverse scenarios.

Second-order statistic-based detection of Alamouti-coded OFDM signals for cognitive radio

“…Based on (6) and results regarding n and n ′ in the proof of Proposition 1, one can see that (11) is valid only for n and m values that satisfy n+n ′ = 2ν, N +2ν and n+n ′ +2m = 2ν, N + 2ν. If n + n ′ = n + n ′ + 2m (either equal to 2ν or N + 2ν), then m = 0, n = 0, 1, ..., N + ν − 1.…”

“…belong to the (same) bth AL block for n, n ′ = N + ν − m, ..., N + ν − 1. By using the same analysis as for q = 2b, one can show that (11) is valid if m = N/2 + ν and n = N/2, ..., N/2 + 2ν.…”

Identification of GSM and LTE signals using their second-order cyclostationarity

“…Kurtosis-based features are proposed in [6], [7] to identify OFDM-based standard signals. Furthermore, the cyclic prefix (CP)-, preamble-, and reference-signal-induced second-order cyclostationarity of LTE and WiMAX standard signals is exploited in [8]- [11] for This work was supported in part by the National Sciences and Engineering Research Council of Canada (NSERC) through the Engage program. their identification.…”

Review on Spectrum Detection Techniques Under Blind Parameters

“…Flow chart of blind spectrum sensing for cyclostationary signal 4.3 FAM-FAM is one of the methods under time-smoothing classification which has good efficiency, computation wise. There are parameters involved that are used to trade-off resolution, reliability and of course computation reduction [2].FAM consists of capturing in a time length Δt a piece of the incoming signal x[n] which is the result of x(t) sampled at fs . Estimation of the ( , )∆ is performed over this time length.…”

“…The Fourier transform of cyclic auto correlation function is called cyclic spectral density [9]. ≜ − 2 ∞ −∞ (6) And the corresponding PSD is found as 0 ( ).The CSD can be considered as SCF [2] = lim →∞ 1/ + 2 − 2 *…”