Single-target and multi-target classification method and device
A classification method and a technology of a classification device, which are applied in the field of signal processing and can solve problems such as large amount of calculation and decreased efficiency of direction finding
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Embodiment 1
[0050] Please see figure 1 , figure 1 A schematic flowchart of a single-multiple-object classification method is provided for the embodiment of the present application. Among them, the single-multi-object classification method includes:
[0051] S101. Acquire array reception signals.
[0052] In the embodiment of the present application, the array reception signal may be acquired through the array antenna.
[0053] In the embodiment of this application, it is assumed that the K incident angles in the space are θ k The signal transmitted by the target is received by the array antenna, and the array received signal is obtained. The signal model of the array received signal x(n) can be expressed as:
[0054] x(n)=As(n)+w(n);
[0055] Among them, k=1, 2, ..., K, n = 1, 2, ..., L, ..., N;
[0056] Among them, the array received signal x(n)=[x 1 (n),x 2 (n),...,x M (n)] T ;Target emission signal s(n)=[s 1 (n),s 2 (n),...,s K (n)] T ;Array popularity matrix A=[a(θ 1 ),...
Embodiment 2
[0078] Please see figure 2 , figure 2 It is a schematic flowchart of a single-multi-object classification method provided in the embodiment of the present application. Such as figure 2 As shown, wherein, the single multi-target classification method includes:
[0079] S201. Acquire array reception signals.
[0080] S202. Perform vector normalization processing on the array received signals to obtain a target signal vector.
[0081] As an optional implementation manner, the method of power normalization can be used to perform vector normalization processing on the array received signal. Specifically, the formula for vector normalization processing on the array received signal is:
[0082]
[0083] in, is the target signal vector, x(n) is the array receiving signal, ||x(n)|| 2 Indicates computing the 2-norm of the signal received by the array.
[0084] S203. Calculate the target correlation of the target signal vector.
[0085] As an optional implementation, calcu...
Embodiment 3
[0115] Please see image 3 , image 3 It is a schematic structural diagram of a single-multi-object classification device provided in the embodiment of the present application. Such as image 3 As shown, the single multi-object classification device includes:
[0116] A signal acquisition unit 310, configured to acquire array reception signals;
[0117]A normalization unit 320, configured to perform vector normalization processing on the array received signals to obtain a target signal vector;
[0118] A calculation unit 330, configured to calculate the target entropy of the target signal vector;
[0119] The classification unit 340 is configured to determine the target type according to the target entropy, where the target type is single target or multiple targets.
[0120] In the embodiment of the present application, for the explanation of the apparatus for classifying single and multi-objects, reference may be made to the description in Embodiment 1 or Embodiment 2, a...
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