MIMO Radar Transmit Beampattern Design Without Synthesising the Covariance Matrix
نویسندگان
چکیده
منابع مشابه
Mimo Radar Transmit Beampattern Synthe- Sis via Minimizing Sidelobe Level
In multi-input multi-output (MIMO) radar transmit beampattern synthesis, most current literature formulates the problems in steradian space. However, since the beampattern and its parameters are both measured and defined in radian space, from the view point of physical meaning, it will be better to reformulate the problems in radian space rather than in steradian space. In this paper, we propos...
متن کاملMIMO Transmit Beampattern Matching Under Waveform Constraints
In this paper, the multiple-input multiple-output (MIMO) transmit beampattern matching problem is considered. The problem is formulated to approximate a desired transmit beampattern (i.e., an energy distribution in space and frequency) and to minimize the cross-correlation of signals reflected back to the array by considering different practical waveform constraints at the same time. Due to the...
متن کاملEvaluation of Covariance Matrix in Distributed MIMO Radar
It has been shown that the detection performance can be improved by exploiting the covariance matrix of the channel vector in the distributed MIMO radar. In this paper, we firstly introduce a system model in which the target is modeled as the sum of a finite number of independent scatterers without limitation on transmitter-receiver configurations. Using this system model, we make a detailed an...
متن کاملSingle-stage transmit beamforming design for MIMO radar
MIMO radar beamforming algorithms usually consist of a signal covariance matrix synthesis stage, followed by signal synthesis to fit the obtained covariance matrix. In this paper, we propose a radar beamforming algorithm (called BeamShape) that performs a single-stage radar transmit signal design; i.e. no prior covariance matrix synthesis is required. Beam-Shape’s theoretical as well as computa...
متن کاملOptimal Transmit Covariance for Ergodic MIMO Channels
In this paper we consider the computation of channel capacity for ergodic multiple-input multiple-output channels with additive white Gaussian noise. Two scenarios are considered. Firstly, a time-varying channel is considered in which both the transmitter and the receiver have knowledge of the channel realization. The optimal transmission strategy is water-filling over space and time. It is sho...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 2014
ISSN: 1053-587X,1941-0476
DOI: 10.1109/tsp.2014.2310435