Method for generating orthogonal phase coded signal

Abstract

The invention relates to the technical field of radar communication and discloses a method for generating an orthogonal phase coded signal. The method specifically comprises the following steps of: 1, constructing a Walsh orthogonal matrix; 2, generating a chromosome code; 3, forming an initial population and decoding; 4, calculating a sum E of self-correlation side lobe energy and cross-correlation energy of a signal obtained by decoding the chromosome code in the population; 5, selecting an individual of which the E is small; 6, performing interlace operation on the individual; 7, performing mutation to generate a new individual; and 8, updating the population and repeating the operation in the steps from 4 to 7, and thus obtaining the best chromosome. The orthogonal matrix is subjectedto random column rearrangement and random row extraction by using a genetic algorithm, so the self-correlation side lobe energy and the cross-correlation energy of the orthogonal signal can be optimized on the premise of no change of the zero orthogonality, and the orthogonal phase coded signal with high performance can be acquired with lower calculation cost.

Description

technical field [0001] The invention belongs to the technical field of radar communication, in particular to a method for generating quadrature phase coded signals. Background technique [0002] Multiple-input multiple-output (MIMO) radar has good anti-intercept performance and low, small, and slow target detection capabilities, and can effectively solve the problems faced by traditional phased array radars, such as battlefield survival and stealth target detection. It is a key point in the development of radar technology. New Direction. [0003] Since the signals emitted by MIMO radar are generally orthogonal signals, they cannot be coherently superimposed in space to form a high-gain narrow beam, but a low-gain wide beam, so that the signal is not easy to be intercepted. The signal received at the receiving end is the sum of the signal delays of each transmission channel, and the orthogonal signal components of each channel are recovered through matched filtering of each ...

AI Technical Summary

Problems solved by technology

These methods require a large amount of calculation, and it is difficult to adapt to the situation where the number of symbols and the number of signals are large.

At the same time, the orthogonally coded signals obtained by these methods have good autocorrelation and cross-correlation characteristics, but the strict zero-point orthogonality between each coded sequence cannot be guaranteed, which brings a negative impact on the performance improvement of parameter estimation and clutter suppression. to a great limit

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