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MultiDetect
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Application background Multi-objective signal detection (using parallel adaptive notch filter to isolate the target signal), MATLAB simulation
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Optimization of cognitive radio
no vote
Application background We consider cooperative spectrum sensing in which
multiple cognitive radios collaboratively detect the spectrum
holes through energy detection and investigate the optimality
of cooperative spectrum sensing with an aim to optimize the
detection performance in an efficient and implementable way.
We derive the optimal voting rule for any detector applied to
cooperative spectrum sensing. We also optimize the detection
threshold when energy detection is employed. Finally, we propose
a fast spectrum sensing algorithm for a large network which
requires fewer than the total number of cognitive radios in
cooperative spectrum sensing while satisfying a given error
bound.
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Cognitive radio Rayleigh slow fading spectrum sens
no vote
Application background
Application background
% This code simulated the energy detection in the cognitive radio when the sensing channel is Rayleigh flat-fading channel.
%The assumptions are following:
% 1) The primary signal is deterministic and binal phase-shift-keying (BPSK).
% 2) Noise is real Gaussian with mean 0 and variance 1.
% The probability of detection for Rayleigh channel can be calculated by the averaging the probability of detection for AWGN channel, which is given by (1) below.
% Pd_theory_awgn = marcumq(sqrt(L*snr),sqrt(thresh),L./2); % --------(1) The probability of detection when the channel is AWGN.
% The probability of detection for Rayleigh channel is given by (2), at the end of the code.
% Please refer the tutorial paper of the energy detection theory titled
% "Unveiling the Hidden Assumptions of Energy Detector Based Spectrum Sen
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The location of primary user in cognitive radio ne
no vote
Application background
Application background
Knowledge about the location of licensed primary-users (PU) could enable several key features in
cognitive radio (CR) networks including improved spatio-temporal sensing, intelligent location-aware
routing, as well as aiding spectrum policy enforcement. In this paper we consider the achievable accuracy
of PU localization algorithms that jointly utilize received-signal-strength (RSS) and direction-of-arrival
(DoA) measurements by evaluating the Cramer-Rao Bound (CRB). Previous works evaluate the CRB for
RSS-only and DoA-only localization algorithms separately and assume DoA estimation error variance
is a fixed constant or rather independent of RSS. We derive the CRB for joint RSS/DoA-based PU
localization algorithms based on the mathematical model of DoA estimation error variance as a function
of RSS, for a given CR placement. The bound is
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Synthetic aperture radar target motion algorithm
no vote
Application background
Application background
Target Motion Analysis ( TMA ) is a process to determine the position of a target using passive sensor information. Sensors like passive RADAR and SONAR provide directional and occasionally frequency information. TMA is done by marking from which direction the sound comes at different times, and
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Range Doppler algorithm for synthetic aperture rad
no vote
Application background
Application background
Application background
The range-Doppler algorithm is the most commonly used algorithm for processing continuously collected SAR data into an image (see Ref. [2.5 ] and 25095001 2016-08-23
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To solve a Sudoku NxN using CSP algorithm and tech
no vote
Application background
I was learning an AI course in my college and learned about Constraint Satisfaction Problems (CSP). The lecturer asked for little solver projects, and I thought... Sudoku! Here's a classic CSP.
Sudoku?
I guess everyone knows Sudoku ; for those who don't, try Google or Wikipidia.
The basic rule(s) of Sudoku are:
For each row/column/region, you have to use distinct numbers.
All cells have to be assigned.
A Sudoku board is a NxN matrix, which means we need t
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Asymptotic prediction method (APM)
no vote
Application background a simple and fast APM (Asymptotic Predictive Method) algorithm for real time control of LTI SISO (Linear Time Invariant Single Input Single Output) systems has been presented. Optimal control signal on each sampling period is calculated using trivial counter control sequence instead of demanding QP (Quadratic Programming) numerical method. Using Matlab simulation, APM control has been compared with demanding standard MPC (Model Predictive Control) algorithm on some typical high order dynamic systems with or without output constraints. Simulation results confirm competitivity of APM algorithm with minor software and hardware demands.
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In the cognitive radio system, the adaptive power
no vote
Application background In this Project work we have proposed an Adaptive Power
Transmission scheme for Cognitive Radio. The proposed scheme
estimates the distance between the primary user and the Cognitive
Radio, using the SNR as proxy for distance, also utilizing the
information of IT (Interference Temperature). On the basis of these
information the Cognitive radio adaptively changes its transmit
power to prevent the primary user from harmful interference. The
most challenging problem of cognitive radio is the interference
which occurs when a cognitive radio accesses a licensed band but
fails to notice the presence of the licensed user. Another challenge
is to compute the correct distance between the cognitive radio and
the primary user. To al
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Huffman algorithm
no vote
Application background Huffman algorithm is quite simple (In theory at least), the idea is based to the fact that in
most files, some bytes(characters if you will) probably appears more times them others.
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