Method, apparatus and system for detecting random access signal

US10033559B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10033559-B2
Application numberUS-201415319950-A
CountryUS
Kind codeB2
Filing dateAug 27, 2014
Priority dateJun 18, 2014
Publication dateJul 24, 2018
Grant dateJul 24, 2018

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Abstract

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The present disclosure provides a method for detecting a random access signal. The method includes: determining a temporary peak detection sequence according to a received time domain random access signal; determining an interference cancellation weight for a frequency domain cyclic shift sequence corresponding to a search window in the temporary peak detection sequence, and performing interference cancellation on the temporary peak detection sequence according to the interference cancellation weight, obtaining a final peak detection sequence; and performing peak detection on the final peak detection sequence. The present disclosure discloses an apparatus and system for detecting a random access signal at the same time. According to the method, the present disclosure can eliminate the deterioration of the leak detection performance and the false detection performance caused by the interference during the random access signal detection, improve the detection accuracy and save resources.

First claim

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What we claim is: 1. A method for detecting a random access signal, comprising: determining a temporary peak detection sequence according to a received time domain random access signal; determining an interference cancellation weight for a frequency domain cyclic shift sequence corresponding to a search window in the temporary peak detection sequence, and performing interference cancellation on the temporary peak detection sequence according to the interference cancellation weight, and thus obtaining a final peak detection sequence; and performing peak detection on the final peak detection sequence; wherein, the interference cancellation is specifically obtained according to Ŷ=WY, wherein, W is the interference cancellation weight, Ŷ is a frequency domain random access signal after the interference cancellation, and a dimension of Ŷ is 1×N; and wherein Y is a frequency domain random access signal before the interference cancellation, a dimension of Y is M×N, M is a number of receiving antennas, and N is a number of subcarriers; and wherein, said determining a temporary peak detection sequence according to a received time domain random access signal further comprises: transforming the received time domain random access signal from time domain to frequency domain through fast Fourier transform FFT, obtaining a frequency domain random access signal; and performing a conjugate dot product on the frequency domain random access signal and a frequency domain value of a cyclic shift sequence; and then, transforming the frequency domain random access signal from the frequency domain to the time domain through inverse fast Fourier transform IFFT, obtaining a temporary peak detection sequence. 2. The method according to claim 1 , wherein, the temporary peak detection sequence is a temporary peak detection sequence of the cyclic shift sequence. 3. The method according to claim 1 , wherein, said determining interference cancellation weights for a frequency domain cyclic shift sequence corresponding to a search window in the temporary peak detection sequence and performing interference cancellation on the temporary peak detection sequence according to the interference cancellation weight, and thus obtaining a final peak detection sequence specifically comprises: determining the interference cancellation weight corresponding to the frequency domain cyclic shift sequence in turn for the frequency domain cyclic shift sequence corresponding to the search window in the temporary peak detection sequence, and then performing weighted combination and then computing modular square on the temporary peak detection sequence according to the interference cancellation weight, and thus obtaining the final peak detection sequence. 4. The method according to claim 1 , wherein, said performing the peak detection on the final peak detection sequence specifically comprises: performing a noise mean estimation on the final peak detection sequence, and determining a signal detection threshold according to an obtained estimation value, then detecting a signal in the search window corresponding to a current frequency domain cyclic shift sequence, and filtering a signal exceeding the signal detection threshold. 5. The method according to claim 1 , wherein, said determining the interference cancellation weight is specifically obtained according to formula W =R SY R YY −1 , wherein, W is the interference cancellation weight, R SY =E{SY H }, R YY =E{YY H }, S is a local frequency domain cyclic shift sequence, and a dimension of S is 1×N. 6. The method according to claim 1 , wherein, said performing the peak detection on the final peak detection sequence comprises: performing power combination first on a final peak detection sequence of which a random access signal is in a repeat format, then performing a noise mean estimation on a combined final peak detection sequence, and determining a signal detection threshold according to an obtained estimation value, then detecting a signal in the search window corresponding to a current frequency domain cyclic shift sequence, and filtering a signal exceeding the signal detection threshold. 7. The method according to claim 6 , wherein, the power combination is an equal gain combination or a maximum ratio combination. 8. The method according to claim 1 , wherein, said determining an interference cancellation weight for a frequency domain cyclic shift sequence corresponding to a search window in the temporary peak detection sequence and performing interference cancellation on the temporary peak detection sequence according to the interference cancellation weight, and thus obtaining a final peak detection sequence specifically comprises: determining all interference cancellation weights corresponding to the frequency domain cyclic shift sequence according to the frequency domain cyclic shift sequence corresponding to all search windows in the temporary peak detection sequence, performing weighted combination and then computing modular square on signals in all search windows in the temporary peak detection sequence respectively according to the interference cancellation weight, and thus obtaining the final peak detection sequence. 9. An apparatus for detecting a random access signal, comprising the following modules: an obtaining module, arranged to: determine a temporary peak detection sequence according to a received time domain random access signal; an interference cancellation module, arranged to: determine an interference cancellation weight for a frequency domain cyclic shift sequence corresponding to a search window in the temporary peak detection sequence, and perform interference cancellation on the temporary peak detection sequence according to the interference cancellation weight, to thereby obtain a final peak detection sequence; and a detection module, arranged to: perform peak detection on the final peak detection sequence; wherein, the interference cancellation is specifically obtained according to Ŷ=WY, wherein, W is the interference cancellation weight, Ŷ is a frequency domain random access signal after the interference cancellation, and a dimension of Ŷ is 1×N;, wherein Y is a frequency domain random access signal before the interference cancellation, a dimension of Y is M×N, M is a number of receiving antennas, and N is a number of subcarriers; and wherein, the obtaining module comprises: a time-frequency conversion submodule, arranged to: perform fast Fourier transform FFT on a received time domain random access signal, and obtain a frequency domain random access signal; a cross correlation submodule, arranged to: perform a conjugate dot product on the frequency domain random access signal with a frequency domain value of a cyclic shift sequence; and a frequency-time conversion submodule, arranged to: perform inverse fast Fourier transform IFFT on an output result of the cross correction submodule, and obtain a temporary peak detection sequence. 10. The detection apparatus according to claim 9 , wherein, the interference cancellation module comprises: a weight obtaining submodule, arranged to: determine an interference cancellation weight for a frequency domain cyclic shift sequence corresponding to a search window in the temporary peak detection sequence; and an operation submodule, arranged to: perform weighted combination and then compute modular square on the temporary peak detection sequence according to an output result of the weight obtaining submodule, and obtain the final peak detection sequence. 11. The detection apparatus according to claim 9 , wherein, the detection module further comprises: a combination submodule, arranged to: when the random access signal is a

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Classifications

  • using regenerative subtractive interference cancellation · CPC title

  • Coarse synchronisation, e.g. by correlation · CPC title

  • of frequency response · CPC title

  • Non-scheduled access, e.g. ALOHA (hybrid access H04W74/02) · CPC title

  • Systems using multi-frequency codes (H04L27/32 takes precedence) · CPC title

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What does patent US10033559B2 cover?
The present disclosure provides a method for detecting a random access signal. The method includes: determining a temporary peak detection sequence according to a received time domain random access signal; determining an interference cancellation weight for a frequency domain cyclic shift sequence corresponding to a search window in the temporary peak detection sequence, and performing interfer…
Who is the assignee on this patent?
Zte Corp, Xian Zhongxing New Software Co Ltd
What technology area does this patent fall under?
Primary CPC classification H04L25/085. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Jul 24 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 6 related publications on this page (citations in our corpus or others sharing the same primary CPC).