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Stochastic Processes And Filtering Theory

dix A. Even if you don’t choose to memorize them this system aids in reference and retreival of important formulas. The book was compiled from notes developed during eight years of teaching a graduate course on the subject and was used as a text. Thus it has been student tested. Appendix F contains a number of problems, grouped to be used on a chapter by chapter basis The problems are designed to illustrate practical applications of the text material. The parts of this book of most interest and value to the EMC engineer will be the chapters on Thermal Noise, Antennas, Propagation and Transmission Lines, and  Reflection and Refraction. This is not  to downpade the chapters on Statistics and Its Applications, Signal Processing and Detection, and Some System Characteristics which also contain much potentially useful materials. Additional plus values for the book include a list of 40 references, a table of symbols used throughout the book, and a subject index. Some readers may find the condensed type and close line spacing hard to read. It was apparently set up by typewriter using an elite type face with single line spacing. When reduced down to a 6 by 9 5 inch size page it is too crowded for easy reading. In spite of this shortcoming your reviewer recommends this book as a worthwhile reference in this field of interest.

http://ieeexplore.ieee.org/iel5/5/31269/01455368.pdf

Signal analysis

This is essentially the subject of waveform diversity This new flexibility demands new ways of characterising waveform properties and optimising waveform design

Waveform Design and Diversity for Advanced Radar Systems

2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)

/pdf/applications-of-second-order-cone-programming-4xht3eda1x.pdf

Applications of Second Order Cone Programming

Robust transceiver design for wideband MIMO radar utilizing a subarray antenna structure

This thesis concerns the design of transmitter-receiver chains for wideband
radar systems. The transmitter side employs one, or several, highly flexible
signal generators, which are able to generate signals with a large bandwidth.
At the receiver side, when we are are able to select receiver filters, we have
the freedom to optimize also the receiver filters.
Herein, the transmit waveforms and receiver filters are designed to fulfil
user-defined criteria. In general, a high probability of target detection, while
maintaining a low false alarm rate, is desired. For a scenario in which interference
is present, this means to achieve a high Signal-to-Interference-and-Noise
Ratio.
When advanced transmitter-receiver technology is implemented, the possibility
to adapt the system through a feedback loop arises. Information
about the the radar operating environment is provided by signal processing
techniques. We propose a Kalman filter to follow a time-evolving cluttermap,
based on the complex received signal samples. The estimates of the
complex clutter reflections are utilized to determine parameters of the clutter
distribution.
The system should, in addition, experience a robust target detection property.
This is important when targets are not confined on a user-specified grid
of time-delays and time-scalings. We derive an algorithm where the mainlobe
width of the correlation function is adapted according to a desired resolution.
The thesis also deals with hardware restrictions. A study on how to synthesize
time domain signals from achieved power spectra is performed. We
synthesize signals with given spectral properties that experience a low peakto-
average-power ratio. A signal with constant envelope is also achievable by
allowing the power spectrum to deviate somewhat from its desired shape.

http://publications.lib.chalmers.se/records/fulltext/212881/212881.pdf

Waveform and Receiver Filter Selection for Wideband Radar Applications

Researchers have recently proposed a widely separated multiple-input multiple-output (MIMO) radar using monopulse angle estimation techniques for target tracking. The widely separated antennas provide improved tracking performance by mitigating complex target radar cross-section fades and angle scintillation. An adaptive array is necessary in this paradigm because the direct path from any transmitter could act as a jammer at a receiver. When the target-free covariance matrix is not available, it is critical to include robustness into the adaptive beamformer weights. This work explores methods of robust adaptive monopulse beamforming techniques for MIMO tracking radar.

http://publications.lib.chalmers.se/records/fulltext/186987/local_186987.pdf

Robust adaptive beamforming for MIMO monopulse radar

This paper considers the problem of waveform synthesis given a desired power spectrum. The properties of the designed waveforms are such that the overall system performance is increased. The metric used to evaluate the optimality of the synthesized time domain signals is the peak-to-average power ratio (PAPR). We discuss how to synthesize waveforms using the technique of partial transmit sequence (PTS). The key point is that the gradient can explicitly be derived from the objective function. Furthermore, the result is extended by allowing the power spectrum to deviate from its original shape, yielding a further reduction in the PAPR. The method is applied to derived power spectra for wideband multiple-input-multiple-output (MIMO) radar. It is shown that the proposed technique can achieve optimal or near optimal performance with PAPR below 0.5 dB.

/pdf/low-papr-waveform-synthesis-with-application-to-wideband-3is6qdfqav.pdf

Low PAPR waveform synthesis with application to wideband MIMO radar

In this paper, we discuss the possibility to suppress interference for wideband multiple-input-multiple-output (MIMO) radar, using only the temporal properties of the signals. The idea is to use tunable filters each connected to a wideband waveform generator, and to derive the optimal power spectral density (PSD) of the resulting signals in a known environment. The metric used to evaluate the enhancement in the system performance is the signal-to-noise and interference ratio (SNIR), from which the optimal transmit and receive filter properties are derived. We discuss two optimization approaches: one alternating and one joint algorithm. Each method is separated into two cases: for a total power constraint and for an individual power constraint on the transmit filters, respectively. Numerical validation illustrates the possibility to suppress the interference in the temporal domain, without actually forming a spatial null in the direction of the interference.

http://publications.lib.chalmers.se/records/fulltext/156028/local_156028.pdf

Marie Ström

Papers

Robust transceiver design for wideband MIMO radar utilizing a subarray antenna structure

Waveform and Receiver Filter Selection for Wideband Radar Applications

Robust adaptive beamforming for MIMO monopulse radar

Low PAPR waveform synthesis with application to wideband MIMO radar

Transmit and receive filter optimization for wideband MIMO radar