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In this quadrature form, the in-phase signal component is represented by ak cos ( t/2T ) cos 2 fc t, where cos ( t/2T ) is described as sinusoidal symbol weighting and ak depends on the data through Eq (744) Similarly, the quadrature signal component is given by bk sin ( t/2t) sin 2 fc t, where sin( t/2T ) is a sinusoidal symbol weighting and bk also depends on the data through Eq (744) At rst examination of Eq (744), it might appear that ak and bk can change every T seconds, because the data bit value dk can certainly change every T seconds However, because of the continuous-phase constraint, as ensured by Eq (74.





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2), ak can change sign only at the zero crossings of sin( t/2T ), and bk can change sign only at the zero crossings of sin( t/2T ) Thus, the symbol weighting in either the in-phase or quadrature channel is a half-cycle sinusoidal pulse of duration 2T seconds with alternating sign As with OQPSK, the two channels of this modulator are offset by T seconds Therefore, we can consider MSK modulation to be a form of OQPSK having sinusoidal symbol weighting on the quadrature channels and a special relationship between the source data stream dk and the binary values applied to the quadrature channels For steady-signal reception in AWGN, the BER performance for MSK is exactly the same as for OQPSK and QPSK The composition of the MSK waveform is shown in Fig 722.

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Blind combination of multiple generators is not guaranteed to yield good results Another approach to combining generators, originated by Collings (1987), is more straightforward Collings compounds generators by maintaining a pool of k separate generators of different types and intermixing the results A separate generator is used to generate a number i from [1, k], and the ith generator is used to provide the next number in the sequence This can greatly extend the period and can overcome serious distributional aws in individual generators If the periods of each generator used in the pool are p, the period of the combined generator is roughly p 2 All of the PRNGs discussed are designed to generate uniformly distributed random numbers Sampling of random numbers from other distributions is usually done by applying a transformation to a uniformly distributed PRNG.

As with OQPSK, MSK is an offset constant-envelope modulation, but MSK has the additional advantage that it is phase continuous, and therefore even the 90 shifts of OQPSK are eliminated In fact, it is readily seen from Eqs (741) and (742) that in each T -second interval, the phase of the signal moves ahead of or behind the carrier phase at a constant rate for a total excursion of exactly /2 radians over the interval The phase continuity of MSK results in a signal spectrum with tails somewhat lower than those of OQPSK The power spectral density G(f ) for MSK modulation is given [Pro01] by 16A2 T cos 2 f T 2 G(f ) = 2 1 16f 2 T 2 where A is the amplitude of the MSK signal Figure 723 shows the normalized power density spectra for BPSK, QPSK, OQPSK, and MSK.

As can be seen in the gure, MSK has lower sidelobes than QPSK or OQPSK, but the main lobe of the MSK spectrum is broader At the 3-dB power points, the MSK main lobe is about 30 per cent wider than that of QPSK GMSK Murota and Hirade [Mur81] observed that the MSK signal spectrum could be made even more compact, and the spectral skirts lowered further, by implementing the modulation in its direct FM form with a low-pass lter applied to the data stream before modulation This technique provides a smoothing of the phase transitions at symbol boundaries; and because the ltering is done before modulation, the constant-envelope property of the signal is preserved The speci c lter characteristic proposed by Murota and Hirade is the Gaussian low-pass lter This modulation technique, shown in Fig 724, is called Gaussian ltered MSK or simply Gaussian MSK (GMSK).

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