“…This simulation is computationally more intensive than the simulation considered in [5], with the execution time now a function of the probing waveform's duration. However, this more detailed simulation is necessary in order to jointly characterize the platform's range estimation performance and the target's detection performance.…”
Section: Frameworkmentioning
confidence: 99%
“…The ocean channel depends on the actual range whereas the preamplification block depends on the range estimate of the platform target) does not appear to be analytically tractable. Thus, for purposes of jointly characterizing detection at the target and range estimation at the platform, instead of simulating decision statistics directly as was done in [5], resorting to Monte Carlo trials based on actual discrete-time waveform generation and reception is needed.…”
Section: Frameworkmentioning
confidence: 99%
“…For the detection performance evaluation in [5], it was assumed that attenuation through the ocean channel is modeled using a scalar attenuation coefficient, α, at the platform and at the target, as in [2]. However, this is a fairly crude model that does not accurately capture the frequency-selective attenuation nature, due to absorption, of the ocean channel.…”
Section: Frameworkmentioning
confidence: 99%
“…With the channel model, identified based on the expected range and the attenuation characteristic, the SNR level at the target can be estimated. In the previous simulations in [5], ROC curves associated with SNRs were evaluated and this can be used as an index for what power level should be used at the platform for a probing waveform. Targeted SNR at the target is maintained to be below a certain level so that the target does not gain detection ability of the LPI waveform.…”
Section: Covert Range Estimation Using Lpimentioning
confidence: 99%
“…In [5], it was shown, by re-evaluating the decision statistics with the consideration of an evasive transmission scheme (e.g. randomly modifying the signal duration), and by exploiting the fact that lower transmission power can be used, that there are conditions favorable to the platform.…”
Using a detailed waveform-based simulation framework, a study on the feasibility of LPI sonar is performed for covert range estimation. A frequency selective channel filter is applied for realistic ocean simulation. The platform uses matched filtering and the target uses energy detection for processing the received signal. The objective of the platform is to estimate the range to the target while ensuring that the target still fails to detect the platform's pinging LPI waveform. A platform-target encounter scenario was designed for Monte Carlo simulation. Evaluation of system parameters was performed to assess for the feasible conditions for covert range estimation.
“…This simulation is computationally more intensive than the simulation considered in [5], with the execution time now a function of the probing waveform's duration. However, this more detailed simulation is necessary in order to jointly characterize the platform's range estimation performance and the target's detection performance.…”
Section: Frameworkmentioning
confidence: 99%
“…The ocean channel depends on the actual range whereas the preamplification block depends on the range estimate of the platform target) does not appear to be analytically tractable. Thus, for purposes of jointly characterizing detection at the target and range estimation at the platform, instead of simulating decision statistics directly as was done in [5], resorting to Monte Carlo trials based on actual discrete-time waveform generation and reception is needed.…”
Section: Frameworkmentioning
confidence: 99%
“…For the detection performance evaluation in [5], it was assumed that attenuation through the ocean channel is modeled using a scalar attenuation coefficient, α, at the platform and at the target, as in [2]. However, this is a fairly crude model that does not accurately capture the frequency-selective attenuation nature, due to absorption, of the ocean channel.…”
Section: Frameworkmentioning
confidence: 99%
“…With the channel model, identified based on the expected range and the attenuation characteristic, the SNR level at the target can be estimated. In the previous simulations in [5], ROC curves associated with SNRs were evaluated and this can be used as an index for what power level should be used at the platform for a probing waveform. Targeted SNR at the target is maintained to be below a certain level so that the target does not gain detection ability of the LPI waveform.…”
Section: Covert Range Estimation Using Lpimentioning
confidence: 99%
“…In [5], it was shown, by re-evaluating the decision statistics with the consideration of an evasive transmission scheme (e.g. randomly modifying the signal duration), and by exploiting the fact that lower transmission power can be used, that there are conditions favorable to the platform.…”
Using a detailed waveform-based simulation framework, a study on the feasibility of LPI sonar is performed for covert range estimation. A frequency selective channel filter is applied for realistic ocean simulation. The platform uses matched filtering and the target uses energy detection for processing the received signal. The objective of the platform is to estimate the range to the target while ensuring that the target still fails to detect the platform's pinging LPI waveform. A platform-target encounter scenario was designed for Monte Carlo simulation. Evaluation of system parameters was performed to assess for the feasible conditions for covert range estimation.
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