Parameter Estimation of Multiple Frequency-Hopping Signals with Two Sensors

Channel Estimation for Frequency Hopping

Frequency hopping systems have traditionally been applied in low-data rate applications where the received signal can be considered narrow-band. The multipath delays encountered in a wireless channel has considerably less a ect on a narrow-band signal. In such cases, delay estimation is not of much signi cance. However, delay estimation becomes increasingly important when the bandwidth of the s...

Regularized Autoregressive Multiple Frequency Estimation

The paper addresses a problem of tracking multiple number of frequencies using Regularized Autoregressive (RAR) approximation. The RAR procedure allows to decrease approximation bias, comparing to other AR-based frequency detection methods, while still providing competitive variance of sample estimates. We show that the RAR estimates of multiple periodicities are consistent in probabilit...

Multipath Delay Estimation for Frequency Hopping Systems

Detection of Frequency Hopping Signals in Digital Wideband Data

In this report, a number of approaches to detect a frequency hopped signal in digital wideband data were investigated, both theoretically and through computer simulations. These approaches included the FFT, the polyphase filter, and the periodogram, plus variants of the these approaches using windowing functions and frequency smoothing. Additionally, the maximum likelihood approach was included...

Reconstruction of Frequency Hopping Signals From Multi-Coset Samples

Multi-Coset (MC) sampling is a well established, practically feasible scheme for sampling multiband analog signals below the Nyquist rate. MC sampling has gained renewed interest in the Compressive Sensing (CS) community, due partly to the fact that in the frequency domain, MC sampling bears a strong resemblance to other sub-Nyquist CS acquisition protocols. In this paper, we consider MC sampli...