This paper introduces a constrained version of the recently proposed set-membership affine projection algorithm based on the set-membershp criteria for coefficient update. The algorithm is suitable for linearly-constrained minimum-varianc filtering applications. The data selective property of the proposed algorithm greatly reduces the computational burden as compared with a nonselective approac...

A new PSO algorithm, the Linear PSO (LPSO), is developed to optimise functions constrained by linear constraints of the form Ax = b. A crucial property of the LPSO is that the possible movement of particles through vector spaces is guaranteed by the velocity and position update equations. This property makes the LPSO ideal in optimising linearly constrained problems. The LPSO is extended to the...

The paper introduces a novel time-frequency linearly constrained minimum variance (LCMV), also known as Capon method, for the direction of arrival (DOA) estimation of nonstationary signals impinging on a multisensor array receiver. The results are compared with the conventional Capon method of DOA estimation technique. In Capon method, the weights are chosen to minimize the weighted array power...

Several groups, including ours, have attempted to use MEG to record the fetal auditory evoked response. Because the recordings are so difficult to make, it is helpful to study the same signals in neonates. Neonatal auditory evoked responses (nAERs) are relatively easy to record because they have much larger amplitude; however, typically the recordings are quite variable due to changes in state ...

This paper discusses the propagation delay estimation problem for DS-CDM4 based on an adaptive antenna array whzch can suppress interfering signals. The tap weights of the adaptzve beamformer are controlled by two adaptive algorithms such as direct matrzx inver.won (DM7) and linearly constrained minimum variance (LCW). The large sample maximum likelihood (ZSML) estimator is applied to the beamf...

In conventional partially adaptive linearly constrained minimum variance (LCMV) beamformer design the approach has been to represent the noise subspace with some reduced set of vectors, typically the eigenvectors associated with the largest eigenvalues of the noise covariance matrix. This, whilst yielding good performance, will not give the optimum performance for a given partially adaptive dim...

AbslractThis paper studies the effect of array calibration errors on the performance of various direction 6nding @F) based signal copy algorithms. Unlike blind copy me€hods, this class of algorithms requires an estimate of the directions of arrival (DOA’s) of the signals in order to compute the copy weight vectors. Under the assumption that the observation time is sufficiently long, the followi...

This paper is concerned with the probability-constrained filtering problem for a class of time-varying nonlinear stochastic systems with estimation error variance constraint. The stochastic nonlinearity considered is quite general that is capable of describing several well-studied stochastic nonlinear systems. The second-order statistics of the noise sequence are unknown but belong to certain k...

Introduction: Blind adaptive linear receivers for DS-CDMA have been proposed in recent years to supress multiple acess interference (MAI) [1–4]. Blind solutions for flat channels based on the minimum variance (MV) and the constant modulus (CM) criterion have been reported in [1] and [2]. Recently, constrained minimum variance (CMV) and constrained constant modulus (CCM) adaptive linear receiver...