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A self-correcting loop for joint estimation-calibration in adaptive radar

A self-correcting loop for joint estimation-calibration in a...

引用

IEEE National Conference on Radar

作者： W. Ye Y. Bar-Ness A.M. Haimovich Center for Communications and Signal Processing Research Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

It is well known that pointing and random angle errors degrade the performance of adaptive radar quickly. A joint adaptive estimation-calibration (JEC) algorithm is proposed to provide on-line look direction corrections and array calibration. The new algorithm is presented in the context of a generalized sidelobe canceler (GSC). The proposed algorithm uses the array output to generate a control signal for steering vector corrections, which in turn yield higher signal-to-noise and interference ratio (SNIR) at the array output. A Doppler technique is used to provide cleaner reference of target signal, which results in better correction of the steering vector. A simple case is investigated to explain how the scheme works and a steady state condition analysis is provided. For an 8-element antenna array, the new algorithm is demonstrated by simulations, which show that the output SNIR is improved by the correction of pointing and random angle errors.

关键词： Jamming signal processing algorithms Interference Spread spectrum radar Narrowband Radar signal processing Degradation Antenna arrays Phased arrays signal to noise ratio

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Multiuser detection for integrated multi-rate CDMA

Multiuser detection for integrated multi-rate CDMA

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International Conference on Information, communications and signal processing

作者： H. Ge Center of Communications & Signal Processing Resecuch Department of Electrical & Computer Engineering New Jersey Institute of Technology Newark NJ USA

We extend the LMMSE multiuser detector to multi-rate CDMA systems, where different users have different quality-of-service (QoS) requirements. The proposed LMMSE detectors can work on dual-rate mode according to different computational constraints. Only the signature of the desired user is needed in using the proposed multi-rate LMMSE detectors. The proposed detectors have better detection performance and less computational requirement than the dual-rate decorrelating detectors. computer simulations verified analytical results and conjecture.

关键词： Multiuser detection Multiaccess communication Detectors Decorrelation Multiple access interference Intserv networks Bit error rate signal processing Quality of service Interference constraints

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Usage of smart antenna for cancelling neighboring base-station interferences in wireless CDMA communications

Usage of smart antenna for cancelling neighboring base-stati...

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Asilomar Conference on signals, Systems & computers

作者： Weichen Ye Y. Bar-Ness A.M. Haimovich Center for Communications and Signal Processing Research Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

The capacity of wireless CDMA systems in the forward link is limited by both intra-cell and inter-cell cochannel interferences. In particular, when the mobile is close to a cell boundary, the desired signal from home base station (BS) is disturbed by relatively strong interference from neighboring BSs. In this paper, a receiver architecture is suggested at the mobile to utilize a small two-antenna array for interference cancellation. Such a canceller works well only when the channel vector of desired signal is known. We use the identifying spreading codes (as in IS-95 for example) to provide an adaptive channel vector estimate, and control the beam steering weight, hence improving the system capacity.

关键词： Interference cancellation Multiaccess communication Antenna arrays Mobile communication Wireless communication Beam steering Bandwidth Fading Mobile antennas Spread spectrum communication

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L/sub p/ norm design of weighted order statistic filters

L/sub p/ norm design of weighted order statistic filters

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International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： C.E. Savin M.O. Ahmad M.N.S. Swamy Centre for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

This paper addresses the problem of designing weighted order statistic (WOS) filters by employing an objective function given as the L/sub p/ norm of the error between the desired signal and the estimated one. The conventional design of WOS filters uses a mean absolute error (MAE) objective function, and as such, it is a special case of the general, L/sub p/ norm based design, developed here. It is shown that in stack filtering, the L/sub p/ norm can be expressed as a linear combination of the decision errors incurred by the Boolean operators at each level of the stack filter architecture. Based on this formulation of the L/sub p/ norm, both nonadaptive and adaptive algorithms for the design of L/sub p/ WOS filters are developed. A design example is considered, to illustrate the performance of the designed L/sub p/ WOS filters with different values of p. The simulation results show that the L/sub p/ WOS filters with p/spl ges/2 are capable of removing more impulsive noise compared with the conventional MAE WOS filters.

关键词： Statistics Nonlinear filters signal design signal processing Filtering Electronic mail Error analysis computer errors Adaptive algorithm Algorithm design and analysis

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A general framework for the design of stack filters using the L/sub p/ norm objective function

A general framework for the design of stack filters using th...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： C.E. Savin M.O. Ahmad M.N.S. Swamy Centre for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

It has been thought for some time now that the design of stack filters using the L/sub p/ norm is mathematically intractable. This paper, for the first time, addresses the problem of designing optimal stack filters by employing an L/sub p/ norm of the error between the desired signal and the estimated one. It is shown that the L/sub p/ norm can be expressed as a linear function of the decision errors at the binary levels of the filter. Thus, an L/sub p/-optimal stack filter can be obtained as a solution of a linear program. The conventional design of using the mean absolute error (MAE), therefore, becomes a special case of the general, L/sub p/ norm based design, developed here. The conventional MAE design of an important subclass of stack filters, the weighted order statistic filters, is also extended to the L/sub p/ norm-based design. By considering a typical application of restoring images corrupted with impulsive noise, several design examples are presented, to illustrate that the L/sub p/-optimal stack filters with p/spl ges/2 can provide a far superior performance in terms of their capability of removing impulsive noise, compared to that achieved by using the conventional minimum MAE stack filters.

关键词： Nonlinear filters signal design Image restoration Boolean functions signal processing Statistics signal restoration Filtering Estimation error Design optimization

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The superpositioning truncated response filter: a new filter structure for baseband or pre-modulation filtering

The superpositioning truncated response filter: a new filter...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： M.J. Paczonay E.W. McCune M.A. Soderstrand Digital Signal Processing and Communications Lab Department of Electrical and Computer Engineering University of California Davis CA USA

A novel digital filter structure is used to implement a digital finite impulse response (FIR) filter when the input is constrained to a two level non return to zero (NRZ) binary signal such as is common in digital communications systems such as digital cellular telephones. Depending on the specified filter, the structure superposes the impulse or rectangular pulse response of the filter for each bit in the NRZ signal. The superpositioning filter can be designed in either a parallel or serial configuration. The serial configuration results in the smallest hardware usage and is the preferred way of implementing the filter for minimum hardware low-power applications. A filter designed with the serial configuration will require only one summing point and no coefficient multipliers. Because there are no multipliers, this filter structure becomes very attractive for the implementation of FIR filters, when the input is a two level NRZ signal.

关键词： Baseband Finite impulse response filter Optical signal processing Digital filters Nonlinear filters Pulse shaping methods Sampling methods Digital communication Hardware Quadrature phase shift keying

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The bootstrap algorithm: a robust multiuser CDMA detector with time delay variation

The bootstrap algorithm: a robust multiuser CDMA detector wi...

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IEEE International Symposium on Personal, Indoor and Mobile Radio communications (PIMRC)

作者： Xiaochun Li Y. Bar-Ness New Jersey Institute of Technology Department of Electrical and Computer Engineering Center for Communications and Signal Processing Research University Heights Newark NJ USA

Almost all near-far resistant detectors, adaptive or nonadaptive, assume knowledge of the relative delays of the different users' signals. Estimation and tracking errors of these delays cause errors in the correlation matrix as they all perceived by the receiver. Some linear detectors, like decorrelating detector, minimum mean-square error (MMSE) detector, or nonlinear detectors, such as zero-forcing decision-feedback (ZF-DF) detector, all directly perform some manipulation on the correlation matrix and hence they are very sensitive to delay shift or estimation error. The bootstrap detector, on the other hand, performs adaptive transformation on the output of the matched filter directly, taking into account any such errors if they exist. Therefore one may expect this detector to be more robust to delay errors. We analyse the bootstrap detector when delay errors exist. We examine analytically as well as by simulation, the BER obtained with this detector and compare it to the conventional decorrelating detector. We show that while the latter becomes non-near-far resistant when error exists, the bootstrap stays near-far resistant in the limit although with some degradation in performance when the condition number of the correlation matrix becomes large.

关键词： Robustness Multiaccess communication Detectors Delay estimation Estimation error Decorrelation Adaptive signal detection Matched filters Error analysis Analytical models

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The LMMSE estimate-based multiuser detector: performance analyses and adaptive implementation

The LMMSE estimate-based multiuser detector: performance ana...

引用

International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Hongya Ge Center for Communications & Signal Processing Research Department of Electrical & Computer Engineering New Jersey Institute of Technology University Heights Newark NJ USA

ISBN: (纸本)0818679190

Presented in this article are analytical expressions of the performance measure on the LMMSE estimate-based multiuser detector, including an error probability expression and its computationally and notationally efficient approximations, signal to interference-plus-noise ratio, and asymptotic efficiency. Also included in are adaptive implementation schemes of the LMMSE detector and the equivalent relation between them under appropriate assumptions. Simulations are included to show the tightness of approximate results over a wide range of near-far ratio and various combinations of SNRs of interfering multiple-access users.

关键词： Detectors Performance analysis Multiaccess communication signal analysis Noise level Adaptive signal processing Error probability Computational modeling Interference suppression Statistics

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Nyquist filters in non-ISI transmission

Nyquist filters in non-ISI transmission

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Ping-Kuen Lam E.W. McCune M.A. soderstrand Department of Electrical and Computer Engineering Digital Signal Processing and Communications Laboratory University of California Davis Davis CA USA

By expressing the frequency response of a Nyquist filter as a convolution of two functions, the mathematical complexity required to find the impulse response of the filter is reduced. Moreover, more efficient Nyquist filters than the popular Raised Cosine filter (i.e. wider 3 dB bandwidth, same absolute bandwidth, and shorter or same length impulse response) are generated by using well known Window functions such as Ramming and Blackman.

关键词： Convolution Cutoff frequency Frequency response Bandwidth Transfer functions Digital signal processing Laboratories Digital filters Wireless communication Data communication

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A least-square method for the design of 2-D FIR digital filters with arbitrary frequency responses

A least-square method for the design of 2-D FIR digital filt...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Wei-Ping Zhu M.O. Ahmad M.N.S. Swamy Center for Signal Processing and Comnnunications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

In this paper, the least-square design problem of 2-D FIR digital filters with arbitrary frequency responses is investigated. By exposing and exploiting some of the characteristics of the complex matrices associated with the approximation problem, a closed-form solution is developed. The solution is presented as an explicit expression for the impulse response corresponding to the desired frequency response specifications. Thus, the method avoids the usual time-consuming procedures of optimization or matrix inversion and makes an extremely fast calculation of the filter's coefficients possible. It is also shown that when this solution is used to design some specific classes of filters, further computational savings can be achieved. Design examples for both linear-phase and nonlinear-phase filters are considered.

关键词： Design methodology Finite impulse response filter Digital filters Frequency response IIR filters Filter bank signal processing Closed-form solution Nonlinear filters Digital signal processing

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