366 research outputs found
OFDM Synthetic Aperture Radar Imaging with Sufficient Cyclic Prefix
The existing linear frequency modulated (LFM) (or step frequency) and random
noise synthetic aperture radar (SAR) systems may correspond to the frequency
hopping (FH) and direct sequence (DS) spread spectrum systems in the past
second and third generation wireless communications. Similar to the current and
future wireless communications generations, in this paper, we propose OFDM SAR
imaging, where a sufficient cyclic prefix (CP) is added to each OFDM pulse. The
sufficient CP insertion converts an inter-symbol interference (ISI) channel
from multipaths into multiple ISI-free subchannels as the key in a wireless
communications system, and analogously, it provides an inter-range-cell
interference (IRCI) free (high range resolution) SAR image in a SAR system. The
sufficient CP insertion along with our newly proposed SAR imaging algorithm
particularly for the OFDM signals also differentiates this paper from all the
existing studies in the literature on OFDM radar signal processing. Simulation
results are presented to illustrate the high range resolution performance of
our proposed CP based OFDM SAR imaging algorithm.Comment: This version has been accepted by IEEE Transactions on Geoscience and
Remote Sensing. IEEE Transactions on Geoscience and Remote Sensing 201
Wideband Waveform Design for Robust Target Detection
Future radar systems are expected to use waveforms of a high bandwidth, where
the main advantage is an improved range resolution. In this paper, a technique
to design robust wideband waveforms for a Multiple-Input-Single-Output system
is developed. The context is optimal detection of a single object with
partially unknown parameters. The waveforms are robust in the sense that, for a
single transmission, detection capability is maintained over an interval of
time-delay and time-scaling (Doppler) parameters. A solution framework is
derived, approximated, and formulated as an optimization by means of basis
expansion. In terms of probabilities of detection and false alarm, numerical
evaluation shows the efficiency of the proposed method when compared with a
Linear Frequency Modulated signal and a Gaussian pulse.Comment: This paper is submitted for peer review to IEEE letters on signal
processin
Adaptive OFDM Radar for Target Detection and Tracking
We develop algorithms to detect and track targets by employing a wideband orthogonal frequency division multiplexing: OFDM) radar signal. The frequency diversity of the OFDM signal improves the sensing performance since the scattering centers of a target resonate variably at different frequencies. In addition, being a wideband signal, OFDM improves the range resolution and provides spectral efficiency. We first design the spectrum of the OFDM signal to improve the radar\u27s wideband ambiguity function. Our designed waveform enhances the range resolution and motivates us to use adaptive OFDM waveform in specific problems, such as the detection and tracking of targets. We develop methods for detecting a moving target in the presence of multipath, which exist, for example, in urban environments. We exploit the multipath reflections by utilizing different Doppler shifts. We analytically evaluate the asymptotic performance of the detector and adaptively design the OFDM waveform, by maximizing the noncentrality-parameter expression, to further improve the detection performance. Next, we transform the detection problem into the task of a sparse-signal estimation by making use of the sparsity of multiple paths. We propose an efficient sparse-recovery algorithm by employing a collection of multiple small Dantzig selectors, and analytically compute the reconstruction performance in terms of the -constrained minimal singular value. We solve a constrained multi-objective optimization algorithm to design the OFDM waveform and infer that the resultant signal-energy distribution is in proportion to the distribution of the target energy across different subcarriers. Then, we develop tracking methods for both a single and multiple targets. We propose an tracking method for a low-grazing angle target by realistically modeling different physical and statistical effects, such as the meteorological conditions in the troposphere, curved surface of the earth, and roughness of the sea-surface. To further enhance the tracking performance, we integrate a maximum mutual information based waveform design technique into the tracker. To track multiple targets, we exploit the inherent sparsity on the delay-Doppler plane to develop an computationally efficient procedure. For computational efficiency, we use more prior information to dynamically partition a small portion of the delay-Doppler plane. We utilize the block-sparsity property to propose a block version of the CoSaMP algorithm in the tracking filter
Joint Transmit and Receive Filter Optimization for Sub-Nyquist Delay-Doppler Estimation
In this article, a framework is presented for the joint optimization of the
analog transmit and receive filter with respect to a parameter estimation
problem. At the receiver, conventional signal processing systems restrict the
two-sided bandwidth of the analog pre-filter to the rate of the
analog-to-digital converter to comply with the well-known Nyquist-Shannon
sampling theorem. In contrast, here we consider a transceiver that by design
violates the common paradigm . To this end, at the receiver, we
allow for a higher pre-filter bandwidth and study the achievable
parameter estimation accuracy under a fixed sampling rate when the transmit and
receive filter are jointly optimized with respect to the Bayesian
Cram\'{e}r-Rao lower bound. For the case of delay-Doppler estimation, we
propose to approximate the required Fisher information matrix and solve the
transceiver design problem by an alternating optimization algorithm. The
presented approach allows us to explore the Pareto-optimal region spanned by
transmit and receive filters which are favorable under a weighted mean squared
error criterion. We also discuss the computational complexity of the obtained
transceiver design by visualizing the resulting ambiguity function. Finally, we
verify the performance of the optimized designs by Monte-Carlo simulations of a
likelihood-based estimator.Comment: 15 pages, 16 figure
Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey
Integrated sensing and communication (ISAC) has the advantages of efficient
spectrum utilization and low hardware cost. It is promising to be implemented
in the fifth-generation-advanced (5G-A) and sixth-generation (6G) mobile
communication systems, having the potential to be applied in intelligent
applications requiring both communication and high-accurate sensing
capabilities. As the fundamental technology of ISAC, ISAC signal directly
impacts the performance of sensing and communication. This article
systematically reviews the literature on ISAC signals from the perspective of
mobile communication systems, including ISAC signal design, ISAC signal
processing algorithms and ISAC signal optimization. We first review the ISAC
signal design based on 5G, 5G-A and 6G mobile communication systems. Then,
radar signal processing methods are reviewed for ISAC signals, mainly including
the channel information matrix method, spectrum lines estimator method and
super resolution method. In terms of signal optimization, we summarize
peak-to-average power ratio (PAPR) optimization, interference management, and
adaptive signal optimization for ISAC signals. This article may provide the
guidelines for the research of ISAC signals in 5G-A and 6G mobile communication
systems.Comment: 25 pages, 13 figures, 8 tables. IEEE Internet of Things Journal, 202
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