Maximum Likelihood Based Measurement of Interference Level and Noise Power for Memoryless Gaussian Channel with Deterministic Interference

Estimation Based on Chirp Modulation for Desired and Interference Power and Channel Occupancy Ratio in LoRa

“…However, the effect of detecting the weak signal by the stochastic resonance is limited in the linear receiver [25]. The estimation of the CCI based on probabilistic modeling has been considered [26,27], but information on the CCI signal format is necessary. In addition, if the mathematical formula for the CCI is not determined, the probabilistic model is not utilized.…”

Non-data-aided ML SNR estimation for AWGN channels with deterministic interference

“…Besides ambient noise, the communication channels may suffer from deterministic interference. In terrestrial wireless systems, the competing users sharing the same spectrum resource, or simply the drift of the system's baseline, may introduce some sort of deterministic interference [1,2]. When a direct conversion receiver is applied, the demodulator output is usually impaired by a direct current (DC) offset due to self-mixing [3], which might be considered as some sort of deterministic interference.…”

“…The signal-to-noise ratio (SNR), defined as the ratio of the signal power to the noise power, is frequently used as the system performance measure [5][6][7][8]. In cases where interference is present, the interference can be estimated and removed from the estimated signal [2,3]. In [1,6,7], the signal-to-interference-plus-noise ratio (SINR), instead of SNR, is applied as the system measure.…”

“…It may not be effective to assume that the interference is constant during thousands of symbols. The maximum likelihood (ML) algorithm in [2] needs only tens of samples. However, the algorithm assumes no attenuation of the source signal and hence is not applicable to SNR estimation.…”