Two novel phase noise filtering algorithms for interferometric synthetic aperture radar (InSAR) are presented in this paper. Aiming at the nonlocal high self-similarity existing InSAR phase, we establish formulations with ℓ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> -norm regularizer and xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> regularizer, respectively. Although these two original nonconvex, attempt to solve them by...

Hardware impairments can substantially limit the performance gain brought by simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS). To address above issue, this letter advocates a robust beamforming method for STAR-RIS in conjunction with active at base station maximizing sum-rate throughout network. There are three main results. First, we extend well-known weighted sum mean-square error minimization (WMMSE) to hardware taken into account. Then, Schur's...

In this article, we propose a novel phase unwrapping method termed the square-root cubature Kalman filter (SCKFPU) method. Specifically, as system model of interferometric synthetic aperture (InSAR) can be formulated discrete Markovian jump for tracking maneuvering target, is proposed by combining SCKF algorithm with gradient estimator. Moreover, design quality estimate function, and present an optimal path-following strategy. The strategy ensures that SCKFPU simultaneously performs noise...

This letter studies a coexisting wireless information and power transfer system, where multi-antenna energy transmitter (ET) delivers wirelessly to its intended receiver by reusing the spectrum owned an existing (IT). We propose new cognitive technique, namely helping, ET assists IT in transmission order gain access for own delivery. The optimal beamforming of is obtained maximize achievable rate-power region at (IR) (ER). Simulation results validate performance proposed design under setup...

In this paper, two novel methods for SAR image super-resolution (SR) are proposed. The main challenge SR reconstruction is speckle noise. For reason, a algorithm termed the importance sampling cubature Kalman filter (ISCKF) proposed to reconstruct high resolution (HR) from series of low-resolution (LR) images. However, as reconstructed usually embraces residual noise visually, we establish nonlinear low-rank optimization model in order further reduce drastically. Correspondingly, an...

We consider the problem of unknown maneuvering emitter tracking by a wireless sensor network using interacting multiple models (IMM) with TDOA and FDOA measurements. Essential to this framework is Markov transition probability matrix (TPM) governing jumps between dynamic motion for target. In practice, TPM has be estimated. paper, we maximum likelihood (ML) estimation propose recursive algorithm update ML estimate analytical center cutting plane method (ACCPM). Compared general batch method,...

This paper focuses on precise oil distribution in pipe network of lubrication system through optimizing the diameter all pipes. We combine computational fluid dynamics and optimization theory this problem. A software platform integrating Isight, ProE, Gambit Fluent has been developed to realize automatic optimization. Quasi-Newton algorithm chosen after investigation relationship between flow-rate, influence partial derivative step factor investigated. Finally, a one inlet six outlets...

In this paper, we consider a wireless information and energy transfer (WIET) system, which consists of multiple transmitter-receiver pairs, additional transmitters to improve the transfer. For such new WIET investigate efficiency (EE) under two different setups, respectively: use same frequency bands. each setup, propose novel centralized beamformer design method solve EE maximization problem, can be transformed into convex optimization problem using semidefinite relaxation (SDR) technique....

DOI: 10.1049/cp:20061403 ISBN: 0 86341 644 6 Location: Hangzhou, China Conference date: 6-9 Nov. 2006 Format: PDF In this paper, we consider a multi-user single-input-single-output (SISO) communication system which employs orthogonal frequency division multiplexing (OFDM) and zero-forcing equalizers. We use convex optimization techniques to substantially simplify our early designs of transceivers were based on solving semidefinite programming (SDP) subproblem in each iteration. particular,...

This paper addresses the problem of designing a multi-user single-input-single-output (SISO) communication system in MMSE sense via modern optimization theory. In particular, joint design optimal transmitter/receiver (transceiver) pair under constraints fixed finite transmission power and receivers employing zero-forcing equalizers is considered. We devise an alternating direction method also establish its convergence. Our transceiver problem, natural formulation which turns out to be...