2009
DOI: 10.1109/jlt.2008.2010721
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Noncoherent Spectral/Spatial Optical CDMA System Using 2-D Diluted Perfect Difference Codes

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Cited by 43 publications
(7 citation statements)
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“…Based on the above mentioned assumption, the power spectral densities of the received optical signals can be written as [2], [4]; (12) where the effective source power at the receiver, f is the source bandwidth, k 2 is the code weight of the time spreading code sequence, W is the number of simultaneous active users, is the data bit of the th user, which can be "1" or "0", M is the code length of the wavelength encoding code sequence and N is the code length of the time spreading code sequence, represents an element of the th user's code word while is the unit step function. Hence, the power spectral density during one bit period of optical signals at PD0, PD1, PD2 and PD3 of the receiver by using cross-correlation between codeword and can be written as: (11) where k 1 is the code weight of the wavelength encoding code sequence. Furthermore, the wavelength-time encoding, of code sequence as shown in Table IV can be divided into four groups [4]: i) g=0, h=0 ii) g =0, h 0 iii) g 0, h h =0 iv) g 0, h 0.…”
Section: Performance Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Based on the above mentioned assumption, the power spectral densities of the received optical signals can be written as [2], [4]; (12) where the effective source power at the receiver, f is the source bandwidth, k 2 is the code weight of the time spreading code sequence, W is the number of simultaneous active users, is the data bit of the th user, which can be "1" or "0", M is the code length of the wavelength encoding code sequence and N is the code length of the time spreading code sequence, represents an element of the th user's code word while is the unit step function. Hence, the power spectral density during one bit period of optical signals at PD0, PD1, PD2 and PD3 of the receiver by using cross-correlation between codeword and can be written as: (11) where k 1 is the code weight of the wavelength encoding code sequence. Furthermore, the wavelength-time encoding, of code sequence as shown in Table IV can be divided into four groups [4]: i) g=0, h=0 ii) g =0, h 0 iii) g 0, h h =0 iv) g 0, h 0.…”
Section: Performance Analysismentioning
confidence: 99%
“…Various 2-D codes have been introduced to suppress PIIN and eliminate MAI such as in [2], [4], [11]. 2-D Spatial/Spectral Perfect Difference (PD) Codes proposed by Cheing et al In [4] has a cancellation property of the MAI as well as greatly reduced the PIIN.…”
Section: Introductionmentioning
confidence: 99%
“…As well, both 2D-DCS and 2D-MS codes can enhance OCDMA system by augmenting the code length of spatial component and decreasing the code length of spectral component. In (Bih-Chyun Yeh et al 2009), 2D-diluted PD (2D-DPD) code is derived from PD code. Based on that, it suffers from constant cross correlation value.…”
Section: Introductionmentioning
confidence: 99%
“…Various alternative approaches in OCDMA have been proposed to overcome PIIN reduction and improved system performance [3][4][5][6][7][8][9]. The 2-D Hybrid Codes with suppressed PIN and MAI cancelation [6], Zou Wei et al and Ghafouri Shiraz et al [7] introduced fixed in-phase spectral cross-correlation equal to one spectral coding, 2-D Perfect Difference Code (PDC) suppressed PIIN and eliminate MAI [8], 2-D Modified Quadratic Congruence (MQC) Code with fixed crosscorrelation resulted in complete elimination of MAI by differential detection [9] and 2-D M-sequence code spread in the wavelength domain and spread in the time domain using optical delay lines [10].…”
Section: Introductionmentioning
confidence: 99%
“…These techniques have focused on developing code families with maximum auto-correlation and maintaining minimum cross-correlation, to reduce the bottleneck inter-channel beating noise at detectors [3][4][5][6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%