Multiple-bit differential detection of offset qpsk

Simon, M.K.

doi:10.1109/tcomm.2003.813262

Cited by 25 publications

(6 citation statements)

References 21 publications

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“…To determine the transmit energy consumption of the differential OQPSK scheme, we derive E OQ t in terms of the average SER. It is shown in [17] and [13] that the average SER of the differential OQPSK is upper bounded by transmitting N-bit during T OQ ac is computed as…”

Section: M-ary Fskmentioning

confidence: 99%

Green modulations in energy-constrained wireless sensor networks

2011

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Due to the unique characteristics of sensor devices, finding the energy-efficient modulation with a lowcomplexity implementation (refereed to as green modulation) poses significant challenges in the physical layer design of Wireless Sensor Networks (WSNs). Toward this goal, we present an in-depth analysis on the energy efficiency of various modulation schemes using realistic models in the IEEE 802.15.4 standard to find the optimum distance-based scheme in a WSN over Rayleigh and Rician fading channels with path-loss. We describe a proactive system model according to a flexible duty-cycling mechanism utilized in practical sensor apparatus. The present analysis includes the effect of the channel bandwidth and the active mode duration on the energy consumption of popular modulation designs. Path-loss exponent and DC-DC converter efficiency are also taken into consideration.In considering the energy efficiency and complexity, it is demonstrated that among various sinusoidal carrier-based modulations, the optimized Non-Coherent M-ary Frequency Shift Keying (NC-MFSK) is the most energy-efficient scheme in sparse WSNs for each value of the path-loss exponent, where the optimization is performed over the modulation parameters. In addition, we show that the On-Off Keying (OOK) displays a significant energy saving as compared to the optimized NC-MFSK in dense WSNs with small values of path-loss exponent.

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Section: M-ary Fskmentioning

confidence: 99%

Green modulations in energy-constrained wireless sensor networks

2011

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“…Since qpT(t) has variations only in the time interval [0, T] it behaves like a full-response pulse. The truncated pulse can be used in a standard CPM-type branch metric increment [1] ZPT(n: Aa:S] (n+l)T Re e-ion-f r(t+(L-1)T/2)e-j2wh&qpT (t-nT) dt nT (15) The hypothesized branch vector [an,Sn] has a one-to-one correspondence with a hypothesized ternary symbol cin and a hypothesized CPM phase state On-1, as shown in Fig. 3 and equation (11), respectively.…”

Section: B Branch Metric Increment Using Pulse Truncationmentioning

confidence: 99%

“…4 is that a one-to-one correspondence between the sign state Sn and the CPM phase state On-1 does not exist. Thus, when given the branch vector [an,Sn], there is not enough information to compute the branch metric updates in (15) and (18). This problem is overcome by using decision feedback.…”

Section: -State Detectors For Soqpskmentioning

confidence: 99%

Simplified 2-State Detectors for SOQPSK

Kumaraswamy

Perrins

2007

MILCOM 2007 - IEEE Military Communications Conference

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We study simple trellis-based detectors for SOQPSK that have a minimal level of complexity. In particular, we show that the state complexity can be cut in half relative to previous approaches-from 4 states down to 2-with asymptotically optimum performance. We give two possible means of achieving this: the pulse amplitude modulation (PAM) technique and the pulse truncation (PT) technique; both of these techniques make use of recent advances in SOQPSK technology based on a continuous phase modulation (CPM) interpretation of SOQPSK. The proposed simplifications are significant since trellis-based SOQPSK detectors are 1-2 dB superior to widely-deployed symbol-bysymbol detectors. These performance gains come at the expense of complexity, and the proposed 2-state detectors minimize this expense. Thus, these simple detection schemes are applicable in settings where high-performance and low complexity are needed to meet restrictions on power consumption and cost.

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“…This ISI can be mitigated by truncating the filter impulse response and applying a trellis decoder, whose complexity grows exponentially with the truncation length. Alternatively, multiple-bit differential detection has also been applied to DOQPSK [4], and reduced-complexity algorithms have been proposed [5].…”

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confidence: 99%

Pulse shaping for differential offset-QPSK

Lam¹,

Elkhazin

Pasupathy

et al. 2006

IEEE Trans. Commun.

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Abstract-Pulse shaping is examined as a means to improve the performance of a differential offset quadrature phase-shift keying system in a bandwidth-constrained environment. Through optimization with respect to a composite Nyquist criterion, the derived pulse shapes have comparable performance to a 4-differential quadrature phase-shift keying in an additive white Gaussian noise (AWGN) channel and better performance in a hard-limited AWGN channel.Index Terms-Differential offset quadrature phase-shift keying (DOQPSK), pulse shaping.

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Multiple-bit differential detection of offset qpsk

Cited by 25 publications

References 21 publications

Green modulations in energy-constrained wireless sensor networks

Green modulations in energy-constrained wireless sensor networks

Simplified 2-State Detectors for SOQPSK

Pulse shaping for differential offset-QPSK

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