Abstract. Impulse interference is one of the major interferences in power system, and the existed algorithms mainly focus on narrow-band interference when using wireless communication, which have little effect on impulse interference. Aiming at this problem, this paper proposes an impulse interference suppression algorithm combined with adaptive gain control (AGC) in Electric Energy Data Acquire System, which uses correlation of the interference to suppress the interference. Simulation results show that: On the condition of Gaussian noise plus impulse interference, when the interference to signal ratio (ISR) is 25 dB, compared with AGC, the algorithm can have a 1.2~5.1 dB promotion of the bit error ratio (BER).

The time‐interleaved analog‐to‐digital converter (TIADC) system could achieve high sampling rate effectively, but the frequency response inconsistency among channels will introduce frequency response mismatches, which will seriously degrade the signal quality. In this paper, a novel multi‐channel frequency response mismatches adaptive calibration method is proposed. The frequency response of the compensation filter is expanded into a polynomial of a digital differentiator, and the least mean square adaptive strategy is used to calibrate frequency response mismatches. It does not require measuring the channel frequency responses in advance and uses digital post‐processing technology to effectively compensate the frequency response of the multi‐channel TIADC system and improve the spurious‐free dynamic range. The experimental results verify the effectiveness of the algorithm.

Wireless communication network is a key component of Electric Energy Data Acquire System. With the increasingly complicated communication environment, it is essential to detect the Interference introduced by other systems and provide the priori information for the Subsequent interference suppression. Traditional interference detection algorithms generally only can determine whether the interference is present, or it is able to determine the type of interference, but the computational complexity is high. To solve the above problems, this paper presents an interference detection algorithm, which use the spatial correlation and the time domain correlation of interference signals to determine the existence of interference and the type of interference, respectively. This algorithm has the characteristics of low computational complexity, and the simulation results show that the algorithm can achieve good performance of interference detection.

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