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Signal detection method based on improved smooth periodogram algorithm

A technology of signal detection and periodogram, which is applied in the direction of pattern recognition, calculation, channel estimation, etc. in the signal, which can solve the problems of poor noise immunity and large amount of calculation for frequency estimation, so as to increase the sensing distance of the system and improve the signal-to-noise than the effect

Active Publication Date: 2022-06-03
XIAN UNIV OF TECH
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  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to provide a signal detection method based on the improved smoothing periodogram algorithm, which solves the problems of large amount of calculation of frequency estimation and poor noise resistance in the prior art

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  • Signal detection method based on improved smooth periodogram algorithm
  • Signal detection method based on improved smooth periodogram algorithm
  • Signal detection method based on improved smooth periodogram algorithm

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Embodiment 1

[0072] Depend on figure 2 , image 3 shown. In the weighted average, the SNR improvement when α=0.99 is equivalent to the arithmetic average of N=100 order. Generally, α=0.99 can meet the calculation requirements.

[0073] Example 1

[0074] This embodiment takes a mixed signal composed of a sinusoidal signal of equal amplitude and a sinusoidal signal of exponential decay as an example: to simulate the SAW echo signal.

[0075] Perform the above step 1 to group the data, where the observation length is 60000, the sampling frequency is 20000HZ, the number of nfft points is 2048, and the number of overlapping points is 410.

[0076] Execute step 2, wherein the window function selects Blackman window;

[0077] Steps 3 to 4 are performed, wherein the exponent weight α is taken as 0.99.

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Abstract

The invention discloses a signal detection method based on an improved smooth periodogram algorithm, and the method comprises the following steps: 1, segmenting a to-be-detected echo signal, and enabling each segment to have M data; 2, windowing the i-th group (i is greater than or equal to 1 and less than or equal to L) of data segmented in the step 1, further performing DFT (Discrete Fourier Transform) calculation on each segment of data after windowing, taking the square of a modulus, and solving a periodogram value of the data; 3, multiplying the k groups of periodogram values (k = 1, 2, 3,..., i-1) in the step 2 by a corresponding weight alpha k-1 to obtain a power spectrum of the kth group of data; and 4, repeating the step 3 until all the divided L groups of data are calculated, performing normalization processing, and ending the calculation. According to the invention, the problems of large frequency estimation calculation amount and poor noise immunity in the prior art are solved.

Description

technical field [0001] The invention belongs to the technical field of signal processing of wireless sensing devices, and relates to a signal detection method based on an improved smoothing periodogram algorithm (improved Welch algorithm). Background technique [0002] Sensor technology, as one of the high-tech, develops rapidly. Traditional wired sensors have high cost, easy aging, and low safety, leading to major problems in sensor installation and long-term use. Active sensors cannot meet the measurement requirements in some harsh environments such as extreme temperatures, high-speed rotation, and confined spaces. Therefore, wireless passive sensors based on SAW technology have received extensive attention and have achieved fruitful research results in the past 30 years. Due to the excellent performance of the SAW sensor, it can be used in extreme environments such as flammable, explosive, high temperature, strong electromagnetic fields, and strong acceleration. The lo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/02G06K9/00
CPCH04L25/022H04L25/024G06F2218/00G06F2218/04Y02D30/70
Inventor 刘家军杨江北
Owner XIAN UNIV OF TECH