256 research outputs found
Adaptive antenna arrays in RFID
No full textM. Trinkle and B. Jamalihttp://trove.nla.gov.au/work/3707243
A gain/phase and mutual coupling calibration algorithm for GPS antenna array in the presence of multipath
No full textZii Xu, Matthew Trinkle, Doug A. Gra
Null-steering LMS dual-polarised adaptive antenna arrays for GPS
No full textThe implementation of a null steering antenna array using dual polarised patch antennas is considered. The best optimality criterion for a dual polarised GPS antenna array is briefly discussed, followed by a description of the associated LMS algorithm. To prevent weight vector drift a version of the circular leakage LMS algorithm was used. The implementation details of a simplified circular leakage algorithm that is more suited to an FPGA implementation are presented.W C Cheuk, M Trinkle & D A Gra
Two-stage DOA estimation of independent and coherent signals in spatially coloured noise
No full textAbstract not availableYuexian Wang, Matthew Trinkle, Brian W. -H. N
Ku-Band Phased Array Reflector Array for Bistatic Radar Experiments
No full textThis paper describes the design of Ku-band 16 element parabolic trough reflector antenna suitable for bistatie radar experiments using geo-stationary satellite TV signals. The array can steer electronically in azimuth and mechanically in elevation. The test results from a smaller four element model trough array are also presented. © 2008 IEEE.Cooke P., Trinkle M., Hansen H. and Palmer, J.http://trove.nla.gov.au/work/3188839
Automatic microphone array position calibration using an acoustic sounding source
No full textThis paper presents a sensor array position calibration algorithm for determining the positions of individual microphones in a linear array automatically from time-difference of arrival measurements obtained from a mobile sounding source. The algorithm uses a nonlinear least squares method to determine the interspacing of microphones that are located along a fixed axis of a linear array. This method provides a means of establishing the positions of microphones for the purposes of acoustic localization and other beamforming applications, without the need to measure these distances by manual means. Simulations and some live experiments illustrate the method.Jager, P.D.; Trinkle, M. and Hashemi-Sakhtsari, A
Low complexity adaptive subarray configuration for FPGA implementation
No full textCopyright © 2008 IEEELarge scale adaptive beamformers require extensive computations and high speed low latency data transfer for FPGA implementation. A solution is to divide the full array into independent subarrays where each subarray spans most of the full array aperture. Individual subarrays contribute to the combined output and can be realized in a modular fashion. The performance of the subarray adaptive beamformer is shown close to that of the full array for a small number of interferences.T. Salim, M. Trinkle, R. Drake and D. Gra
Zero-IF receivers for phased array radars
No full textCopyright © 2008 IEEEThis paper considers the suitability of zero-IF receivers for inclusion into the transmit/receive (T/R) modules in modern phased array radars. The main performance measures are the overall system dynamic range and tuning range. The achievable dynamic range is estimated based on currently available components and compared against the results of a prototype system. The overall results indicate that a dynamic range of more than 60 dB is achievable in a 50 MHz bandwidth.Matthew Trinkle and Joy L
Implemenation of GSC based subarray adaptive LMS algorithm using Xiling FPGA
No full textCopyright © 2008 IEEELarge scale fully adaptive systems are difficult to implement on FPGA because of low latency, high speed data transfer, and computational requirements. A solution is proposed in previous correspondence where randomly sampled adaptive systems are employed to distribute complex problem into blocks of simple subarray modules. In this contribution we analyze generalized sidelobe canceller (GSC) based LMS subarray adaptive algorithm for FPGA implementation in complex domain. A complex adaptive algorithm requires twice as much device area as compared to real adaptive systems. GSC based LMS adaptive algorithms are evaluated using varying number of data sizes and antenna elements. A twelve channel adaptive beamformer with 18 bit resolution fits into almost one fourth of a Xilinx Virtex4 XC4VSX55 device. This means one Virtex4 device can accommodate both the sum and difference subarray channels for estimating target azimuthal and elevation polarization.T. Salim, M. Trinkle and R. Drak
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