“…In [ 5 ], we selected Weibull-distributed random process with probability density function (PDF) , where λ is the scale parameter and k is the shape parameter. Assuming that the shape parameter k is selected arbitrarily and is known to the authorized platforms only, we proposed to encode communication data using the scale parameter λ .…”
Section: Rse Approach To Signal Designmentioning
confidence: 99%
“…For simplicity, we formulate that correctly recovering an estimate of λ by an authorized receiver achieves our goal of the communication data reception. An authorized receiver can perform this estimation using a simple expression [ 5 , 17 ]: where is mathematical expectation of the vector containing estimates of the received signal’s OFDM sub-carrier amplitudes, and Γ is the gamma function. In contrast, an unauthorized interceptor without the knowledge of k will need to perform estimation of that parameter first, which requires solving a non-linear equation that is highly susceptible to disturbances, such as additive noise: where is the estimate of the m th OFDM sub-carrier amplitude.…”
Section: Rse Approach To Signal Designmentioning
confidence: 99%
“…In Case 2, the return is the sum of independent random variables C and N . In the actual system implementation, the received signal is recorded in terms of its magnitude samples [ 5 ]. Owing to the independence of C and N , we then formulate the expression for their joint PDF, expressed via their individual pdf’s: where the sign denotes convolution.…”
Section: Clutter Distribution Deconvolution From Noisementioning
confidence: 99%
“…An OFDM signal with 32 sub-carriers was generated for each bit using (1) with formed as per (11). Upon reception, a friendly platform used FFT to reconstruct the sub-carrier coefficients using FFT and extracting the magnitude estimates only, via the process explained in [ 5 ]. Once these estimates were obtained, the value of the k th bit was estimated using the vector and the estimate of its corresponding b -parameter as: …”
“…In our previous work, we investigated the performance of the random sequence encoding (RSE) method of waveform design, where the transmissions could be derived from a clutter model [ 5 ]. This was achieved via a novel algorithm in which the communication data are encoded as a parameter of a particular random distribution, whereas the radarcom signal is then created using samples of the thus distributed random process.…”
In this work we propose a method of in situ clutter deconvolution and modeling using experimentally obtained UWB radar data. The obtained clutter models are then used for random sequence encoding of radar-communication (radarcom) signals to achieve clutter-masked transmissions and improve communication security. We present the results of clutter modeling from the laboratory data obtained with the software-defined radar system. We then show that such clutter-masked radarcom signals generated using the local clutter model are highly likely to be interpreted as just clutter returns by an unauthorized interceptor. We also present the results of communication and radar performance of these radarcom signals and contrast them with those obtained using a linear frequency modulated waveform. It is shown that the proposed radarcom design method has high potential to achieve secure communications in adversarial conditions, while simultaneously addressing radar sensing needs.
“…In [ 5 ], we selected Weibull-distributed random process with probability density function (PDF) , where λ is the scale parameter and k is the shape parameter. Assuming that the shape parameter k is selected arbitrarily and is known to the authorized platforms only, we proposed to encode communication data using the scale parameter λ .…”
Section: Rse Approach To Signal Designmentioning
confidence: 99%
“…For simplicity, we formulate that correctly recovering an estimate of λ by an authorized receiver achieves our goal of the communication data reception. An authorized receiver can perform this estimation using a simple expression [ 5 , 17 ]: where is mathematical expectation of the vector containing estimates of the received signal’s OFDM sub-carrier amplitudes, and Γ is the gamma function. In contrast, an unauthorized interceptor without the knowledge of k will need to perform estimation of that parameter first, which requires solving a non-linear equation that is highly susceptible to disturbances, such as additive noise: where is the estimate of the m th OFDM sub-carrier amplitude.…”
Section: Rse Approach To Signal Designmentioning
confidence: 99%
“…In Case 2, the return is the sum of independent random variables C and N . In the actual system implementation, the received signal is recorded in terms of its magnitude samples [ 5 ]. Owing to the independence of C and N , we then formulate the expression for their joint PDF, expressed via their individual pdf’s: where the sign denotes convolution.…”
Section: Clutter Distribution Deconvolution From Noisementioning
confidence: 99%
“…An OFDM signal with 32 sub-carriers was generated for each bit using (1) with formed as per (11). Upon reception, a friendly platform used FFT to reconstruct the sub-carrier coefficients using FFT and extracting the magnitude estimates only, via the process explained in [ 5 ]. Once these estimates were obtained, the value of the k th bit was estimated using the vector and the estimate of its corresponding b -parameter as: …”
“…In our previous work, we investigated the performance of the random sequence encoding (RSE) method of waveform design, where the transmissions could be derived from a clutter model [ 5 ]. This was achieved via a novel algorithm in which the communication data are encoded as a parameter of a particular random distribution, whereas the radarcom signal is then created using samples of the thus distributed random process.…”
In this work we propose a method of in situ clutter deconvolution and modeling using experimentally obtained UWB radar data. The obtained clutter models are then used for random sequence encoding of radar-communication (radarcom) signals to achieve clutter-masked transmissions and improve communication security. We present the results of clutter modeling from the laboratory data obtained with the software-defined radar system. We then show that such clutter-masked radarcom signals generated using the local clutter model are highly likely to be interpreted as just clutter returns by an unauthorized interceptor. We also present the results of communication and radar performance of these radarcom signals and contrast them with those obtained using a linear frequency modulated waveform. It is shown that the proposed radarcom design method has high potential to achieve secure communications in adversarial conditions, while simultaneously addressing radar sensing needs.
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