Acoustoelectric Convolver Technology for Spread-Spectrum Communications

Reible, S.A.

doi:10.1109/tmtt.1981.1130379

Cited by 28 publications

(7 citation statements)

References 20 publications

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“…SAW components offer various potential applications for signal processing in spread-spectrum [1,2,4,5,6], radar and other RF systems [3,9], such as delay lines, pulse expansion and compression, spectrum analysis, matched filters, oscillators and convolvers. The importance of SAW technology is emphasized by the rapid development of SAW devices and by many experiments and applications in recent years.…”

Section: Introductionmentioning

confidence: 99%

Demodulation of Spread-Spectrum Signals Using One SAW Convolver

Hartl¹,

Thiel²,

Liang³

1989

Frequenz

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An overview of the Surface Acoustic Wave (SAW) convolver and its applications are given. The main performance features of a laboratory convolver prototype are presented. In addition, an experimental demodulator of 2DPSK spread-spectrum signals with repeating sequences, using only one monolithic SAW convolver as a matched filter, is described.Übersicht: Es wird ein Überblick über Surface Acoustic Wave (SAW) Convolver und deren Anwendungsmöglichkeiten gegeben. Die wichtigsten Kenndaten des verwendeten Labormusters werden angegeben, und ein Experimentaufbau eines 2DPSK-Spread-Spectrum-Demodulators für sich wiederholende PN-Sequenzen mit nur einem monolithischen SAW-Convolver wird beschrieben Für die Dokumentation: SAW-Convolver / Spread-Spectrum-Technik / Wirkungsgrad / Integrationszeit / Prozeßgewinn / Convolution / Delay lock loop

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Section: Introductionmentioning

confidence: 99%

Demodulation of Spread-Spectrum Signals Using One SAW Convolver

Hartl¹,

Thiel²,

Liang³

1989

Frequenz

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“…[3 As in the proof of Lemma 2.5, we shall utilize the infinite-matrix representation of an operator with respect to an orthonormal basis. All matrix representations given Downloaded 12/20/14 to 205.208.120.10.…”

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confidence: 99%

“…Alternatively, if either S or L is positive definite, then the result follows from SL= L-I/2(L'/2SL/2)L/2 if L is positive definite or SL= S'/2(SI/2LS'/)S-/2 if S is positive definite. [3 The following data are assumed. The state x(t) is an element of a real separable Hilbert space and the state differential equation is interpreted in the weak sense (see, e.g., [6, pp. (Rm, ) and the operator RI l(ff( and the matrix R2.…”

mentioning

confidence: 99%

“…is a zero-mean Gaussian "standard white noise process" in L2((0, oo), ') (see [6, p. 314]), where ' is a real separable Hilbert space, HI 2(', ), HE (', t) and ":" denotes expectation. We assume that HIH*2 0, i.e., the disturbance and measurement noises are independent, 3 and that V2 & HEH is positive definite, i.e., all measurements are noisy. Note that V a_ HH*I () is nonnegative definite and trace class.…”

mentioning

confidence: 99%

“…The results of [41], [42] and [68] could serve as a starting point in this regard. 3. Numerical algorithms.…”

mentioning

confidence: 99%

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The Optimal Projection Equations for Finite-Dimensional Fixed-Order Dynamic Compensation of Infinite-Dimensional Systems

Bernstein¹,

Hyland²

1986

SIAM J. Control Optim.

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One of the major difficulties in designing implementable finite-dimensional controllers for distributed parameter systems is that such systems are inherently infinite dimensional while controller dimension is severely constrained by on-line computing capability. While some approaches to this problem initially seek a correspondingly infinite-dimensional control law whose finite-dimensional approximation may be of impractically high order, the usual engineering approach involves first approximating the distributed parameter system with a high-order discretized model followed by design of a relatively low-order dynamic controller. Among the numerous approaches suggested for the latter step are model/controller reduction techniques used in conjunction with the standard LQG result. An alternative approach, developed in [36], relies upon the discovery in [31] that the necessary conditions for optimal fixed-order dynamic compensation can be transformed into a set of equations possessing remarkable structural coherence. The present paper generalizes this result to apply directly to the distributed parameter system itself. In contrast to the pair of operator Riccati equations for the "full-order" LQG case, the optimal finite-dimensional fixed-order dynamic compensator is characterized byfour operator equations (two modified Riccati equations and two modified Lyapunov equations) coupled by an oblique projection whose rank is precisely equal to the order of the compensator and which determines the optimal compensator gains. This "optimal projection" is obtained by a full-rank factorization of the product of the finite-rank nonnegative-definite Hilbert-space operators which satisfy the pair of modified Lyapunov equations. The coupling represents a graphic portrayal of the demise of the classical separation principle for the finite-dimensional reduced-order controller case. The results obtained apply to a semigroup formulation in Hilbert space and thus are applicable to control problems involving a broad range of specific partial and functional differential equations.

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Recent research and development activities on spread spectrum communication systems

Marubayashi

1992

Electron. Comm. Jpn. Pt. I

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This paper reviews recent worldwide activities concerning research and development for spread spectrum communication technologies. Included are various novel proposals, results of analysis, and experimental results concerning spreading code, synchronization, device, system construction, and applications to consumer and mobile communications.For the spreading code, however, two invited papers are presented in this special issue and hence only a brief explanation is made here. Instead, considerable space is devoted to the recent progress toward development of CDMA public land mobile telecommunication systems in the United States.Various countermeasures have beem studied for the impulsive burst noise. Chip interleave scheme is characteristic of the spread spectrum communication system.Combined with the limiter, it has been shown very effective [26]. Land MobileCommunication by CDMA [32-361 3.1. TDMA vs. CDMA At the CCIR conference held at Kyoto in 1978, the mobile communication system by the spread spectrum technology was discussed. It became a temporal research topic, but not actually p u d . Since 1979, the mobile

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Acoustoelectric Convolver Technology for Spread-Spectrum Communications

Cited by 28 publications

References 20 publications

Demodulation of Spread-Spectrum Signals Using One SAW Convolver

Demodulation of Spread-Spectrum Signals Using One SAW Convolver

The Optimal Projection Equations for Finite-Dimensional Fixed-Order Dynamic Compensation of Infinite-Dimensional Systems

Recent research and development activities on spread spectrum communication systems

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