Signal analysis technique for determining a subject of binary sequences most likely to have been transmitted in a multi-node communication network

• US 5,267,271 A
• Filed: 07/01/1992
• Issued: 11/30/1993
• Est. Priority Date: 09/27/1991
• Status: Expired due to Term

• Current Assignee: CommWorks Solutions, LLC (IP Investments Group LLC)
• Original Assignee: Lockheed Martin Space Operations Company (Martin Marietta Corporation)
• Inventors: Rice, Bart E.
• Primary Examiner(s): Kuntz, Curtis
• Assistant Examiner(s): TSE, YOUNG TOI
• Application Number:
  US07/907,358
• Time in Patent Office: 517 Days
• Field of Search: 375/1, 375/96, 375/115, 375/76, 364/604, 364/728.03-728.07, 324/77 G, 324/77 R, 371/37.5, 370/18
• US Class Current: 375/343
• CPC Class Codes: H04B 1/707 using direct sequence modulation
• CPC Class Codes: H04J 13/0074 Code shifting or hopping
• CPC Class Codes: H04J 13/10 Code generation
• CPC Class Codes: H04J 13/16 Code allocation

Abstract

A method and apparatus are disclosed whereby a received signal comprising a binary spreading-code sequence, which belongs to a set of binary spreading-code sequences available to a transmitting node of a multi-node communication network, can be analyzed to determine the particular sequence from the set of sequences available to the transmitting node that was actually transmitted. All sequences of the set of available sequences have the property that each sequence can be generated by the same configuration of two linear feedback binary shift registers, where the feedback taps on the two binary shift registers correspond to primitive polynomials of the same degree over GF(2), the field of two elements. The received signal is correlated with each sequence of the set of available sequences to obtain a set of correlation values. The correlation values having the largest and the next-largest magnitudes are compared, and if their ratio exceeds a predetermined threshold, a detection decision is made. If the ratio does not exceed the predetermined threshold, additional logic is implemented to declare a detection decision or an erasure. Once a detection decision has been made, the signal is decoded into a block of information bits corresponding to the largest correlation magnitude. The sign of the corresponding correlation value determines one additional information bit.

Claims

1. An apparatus for analyzing a signal received at a receiving node of a multi-node communication network in order to determine a particular subset of binary sequences likely to have been transmitted by a transmitting node of said network, said particular subset being contained in a multi-member set of binary sequences available to said transmitting node, said transmitting node having actually transmitted a certain subset of binary sequences selected from said set of binary sequences available to said transmitting node, said particular subset thereby being determined with a high degree of probability to be the certain subset that was actually transmitted, said apparatus comprising:

a) means for correlating each binary sequence in said set of binary sequences available to said transmitting node with said received signal to produce a set of correlation outputs, each correlation output corresponding to a specified one of said available binary sequences; and

b) means for evaluating said set of correlation outputs to identify said particular subset of said set of available binary sequences as being most likely to have been transmitted by said transmitting node, said means for evaluating said set of correlation outputs having;

(i) means for computing a largest sum of correlation outputs corresponding to a first subset of said set of binary sequences available to said transmitting node, and a next-largest sum of correlation outputs corresponding to a second subset of said set of binary sequences available to said transmitting node;

(ii) means for forming a ratio of said largest sum to said next-largest sum; and

(iii) means for evaluating said ratio to determine whether said ratio is greater than a predetermined threshold.

2. The apparatus of claim 1 wherein said means for correlating each binary sequence in said set of binary sequences available to said transmitting node with said received signal to produce said set of correlation outputs comprises:

a) means for simultaneously generating all binary sequences of said set of binary sequences available to said transmitting node; and

b) means for combining each of said simultaneously generated binary sequences with said received signal to produce said set of correlation outputs.

3. The apparatus of claim 1 further comprising:

a) means for computing a punctured sum of correlation values corresponding to a subset of said multi-member set of binary sequences designated as "upper" sequences;

b) means for computing a punctured sum of correlation values corresponding to a subset of said multi-member set of binary sequences designated as "lower" sequences;

c) means for comparing the punctured sums of correlation values corresponding to said subsets of "upper" and "lower" sequences to determine which one of said subsets of "upper" and "lower" sequences is most likely to contain said particular subset of binary sequences that is most likely to have been transmitted by said specified transmitting node;

d) means for forming a ratio of the largest punctured sum of correlation values to the next-largest sum of correlation values corresponding to the subset of binary sequences in the one of said subsets of "upper" and "lower" sequences most likely to contain said particular subset of binary sequences that is most likely to have been transmitted by said specified transmitting node; and

e) means for evaluating said ratio of the largest punctured sum of correlation values to the next-largest sum of correlation values of binary sequences in the one of said subsets of "upper" and "lower" sequences most likely to contain said particular subset of binary sequences that is most likely to have been transmitted by said specified transmitting node to determine whether said ratio is greater than a second predetermined threshold.

4. The apparatus of claim 1 further comprising means for evaluating polarity of said particular subset of said set of available binary sequences identified as being likely to have been transmitted by said transmitting node.

5. A method for analyzing a signal received at a receiving node of a multi-node communication network in order to determine a particular subset of binary spreading-code sequences most likely to have been transmitted by a specified transmitting node of said network, said particular subset being contained in a multi-member set of binary spreading-code sequences available to said specified transmitting node, said specified transmitting node having actually transmitted a certain subset of binary spreading-code sequences selected from said set of binary spreading-code sequences available to said specified transmitting node, said particular subset thereby being determined with a high degree of probability to be the certain subset that was actually transmitted, said method comprising:

a) correlating each binary spreading-code sequence in said set of binary spreading-code sequences available to said specified transmitting node with said received signal to produce a set of correlation outputs, each correlation output corresponding to a specified one of said binary spreading-code sequences available to said specified transmitting node; and

b) evaluating said set of correlation outputs by;

(i) computing a largest sum of correlation outputs corresponding to a first subset of said set of binary spreading-code sequences available to said specified transmitting node, and a next-largest sum of correlation outputs corresponding to a second subset of said set of binary spreading-code sequences available to said specified transmitting node;

(ii) forming a ratio of said largest sum to said next-largest sum; and

(iii) evaluating said ratio to determine whether said ratio is greater than a first predetermined threshold;

to identify said particular subset of said set of available binary spreading-code sequences as being most likely to have been transmitted by said specified transmitting node.

6. The method of claim 5 wherein the correlating of each binary sequence in said set of binary sequences available to said transmitting node with said received signal to produce said set of correlation outputs comprises:

a) simultaneously generating all binary sequences of said set of binary sequences available to said transmitting node; and

b) combining each of said simultaneously generated binary sequences with said received signal to produce said set of correlation outputs.

7. The method of claim 5 wherein, when conditions obtain as follows:

(i) said multi-member set of binary spreading-code sequences available to said specified transmitting node can be allocated between two subsets of spreading-code sequences, namely, a subset designated as "upper" sequences and a subset designated "lower" sequences;

(ii) all members of said multi-member set of binary spreading-code sequences available to said specified transmitting node have a common period;

(iii) correlations at zero offset over said period between different spreading-code sequences in said subset of "upper" sequences have a magnitude 1, and correlations over said period between different spreading-code sequences in said subset of "lower" sequences have a magnitude 1;

(iv) said particular subset of binary spreading-code sequences most likely to have been transmitted by said specified transmitting node is contained in only one of said subsets of "upper" and "lower" sequences;

(v) said subset of "upper" sequences contains only one of said first subset to which the largest sum of correlation outputs corresponds and said second subset to which the next-largest sum of correlation outputs corresponds;

(vi) said subset of "lower" sequences contains the other of said first subset to which the largest sum of correlation outputs corresponds and said second subset to which the next-largest sum of correlation outputs corresponds; and

(vii) said ratio of said largest sum of correlation outputs to said next-largest sum of correlation outputs is less than said predetermined threshold;

said method for analyzing the signal received at said receiving node further comprises;

a) computing a punctured sum of correlation values corresponding to said subset of "upper" sequences;

b) computing a punctured sum of correlation values corresponding to said subset of "lower" sequences;

c) comparing the punctured sums of correlation values corresponding to said subsets of "upper" and "lower" sequences to determine which one of said subsets of "upper" and "lower" sequences is most likely to contain said particular subset of binary spreading-code sequences most likely to have been transmitted by said specified transmitting node;

d) forming a ratio of the largest punctured sum of correlation values to the next-largest sum of correlation values corresponding to the subset of binary spreading-code sequences in the one of said subsets of "upper" and "lower" sequences that is most likely to contain said particular subset of binary spreading-code sequences most likely to have been transmitted by said specified transmitting node; and

e) evaluating said ratio of the largest punctured sum of correlation values to the next-largest sum of correlation values of binary spreading-code sequences in the one of said subsets of "upper" and "lower" sequences that is most likely to contain said particular subset of binary spreading-code sequences most likely to have been transmitted by said specified transmitting node to determine whether said ratio is greater than a second predetermined threshold;

to identify the particular subset of said one of said subsets of "upper" and "lower" sequences that is most likely to have been transmitted by said specified transmitting node.

8. The method of claim 5 further comprising evaluating polarity of said particular subset of said set of available binary sequences identified as being likely to have been transmitted by said transmitting node. p