Novel algorithm for STBC-OFDM identification in cognitive radios

Marey, Mohamed; Dobre, Octavia A.; Inkol, R.

doi:10.1109/icc.2013.6654958

Cited by 8 publications

(39 citation statements)

References 12 publications

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“…In this section, we compare the analytical and simulation results for the CCF magnitude, investigate the performance of the proposed algorithm, and compare it with that of the algorithm in [36].…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The analytical expressions for the CCF and its corresponding CFs are derived here for the SM-OFDM and AL-OFDM signals. Results are obtained by following the commonly used assumptions that [29]- [36]: a) the transmitted sequences are uncorrelated with the noise: E s (f ) (m 0 )w (v) (m 1 ) = 0, ∀ f, v = 0, 1, and m 0 , m 1 ∈ I; b) the noise in each channel is uncorrelated with that of the other channels:…”

Section: B Analytical Expressions For the Ccf Of The Sm-ofdm And Al-mentioning

confidence: 99%

“…AL-OFDM By using (2), (3), (4), the complex conjugation property of the Fourier transform, and following [36], one can obtain…”

Section: Sm-ofdmmentioning

confidence: 99%

“…There is only a relatively small number of papers tackling the ASI problem for MIMO systems, as follows: the estimation of the number of transmit antennas was studied in [23], [24], modulation classification was investigated in [25]- [28], and identification of space-time block codes (STBCs) was explored in [29]- [36]. Regarding the STBC identification, the maximum likelihood approach was studied in [29], while the feature-based approach was considered in [30]- [36]. Although the former provides an optimal solution in the sense of maximizing the average probability of correct identification, it suffers from an exponential computational complexity and requires knowledge of the channel parameters, as well as symbol and block synchronization [29].…”

Section: Introductionmentioning

confidence: 99%

“…Modulation classification for SM signals is investigated in [28], while identification of STBCs is studied in [36], with the latter being relevant to our work. We propose a novel identification algorithm for the identification of SM-OFDM and AL-OFDM signals; this relies on the second-order cyclostationarity of the received signal, whereas the algorithm in [36] employs signal moments. We derive the analytical expressions for the cyclic cross-correlation function (CCF) and its corresponding cycle frequencies (CFs) for the SM-OFDM and AL-OFDM signals, and then use them to develop a novel feature-based signal identification algorithm.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Identification of SM-OFDM and AL-OFDM Signals Based on Their Second-Order Cyclostationarity

Karami

Dobre

2015

IEEE Trans. Veh. Technol.

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Automatic signal identification (ASI) has important applications to both commercial and military communications, such as software defined radio, cognitive radio, spectrum surveillance and monitoring, and electronic warfare. While ASI has been intensively studied for single-input single-output systems, only a few investigations have been recently presented for multiple-input multiple-output systems. This paper introduces a novel algorithm for the identification of spatial multiplexing (SM) and Alamouti coded (AL) orthogonal frequency division multiplexing (OFDM) signals, which relies on the second-order signal cyclostationarity. Analytical expressions for the second-order cyclic statistics of SM-OFDM and AL-OFDM signals are derived and further exploited for the algorithm development. The proposed algorithm provides a good identification performance with low sensitivity to impairments in the received signal, such as phase noise, timing offset, and channel conditions. KeywordsAutomatic signal identification (ASI), multiple-input multiple-output (MIMO), space-time block code (STBC), orthogonal frequency division multiplexing (OFDM), cyclostationarity, cyclic correlation function (CCF), cycle frequency (CF).

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Section: Simulation Resultsmentioning

confidence: 99%

Section: B Analytical Expressions For the Ccf Of The Sm-ofdm And Al-mentioning

confidence: 99%

“…AL-OFDM By using (2), (3), (4), the complex conjugation property of the Fourier transform, and following [36], one can obtain…”

Section: Sm-ofdmmentioning

confidence: 99%